Overview

Brought to you by YData

Dataset statistics

Number of variables763
Number of observations36314
Missing cells178331
Missing cells (%)0.6%
Total size in memory211.7 MiB
Average record size in memory6.0 KiB

Variable types

Numeric719
Text44

Alerts

GNJJUIH has constant value "1.0"Constant
MKVXAUF has constant value "1.0"Constant
VXZZORS has constant value "1.0"Constant
HOAJWUR has constant value "1.0"Constant
KXGNEZR has constant value "1.0"Constant
NJFNKOX has constant value "1.0"Constant
SWMNPFK has constant value "1"Constant
BXBUVRU has constant value "1"Constant
XXIPGDP has constant value "41.0"Constant
KRMCXMU has constant value "1"Constant
XRUSUCA has constant value "1"Constant
XJTQVGI has constant value "7.0"Constant
VMYGDBS has constant value "47.0"Constant
YPMGCVT has constant value "1"Constant
HTMOHRO has constant value "1"Constant
EWKETJA has constant value "0.0"Constant
WWHSAAX has constant value "1"Constant
LVDPQQT has constant value "1"Constant
QVZRENP has constant value "47.0"Constant
EHAPOTE has constant value "1"Constant
PINNYVT has constant value "1"Constant
LVBGDZB has constant value "1.0"Constant
FIJMBVX has constant value "1.0"Constant
GGNNDQY has constant value "47.0"Constant
IJTGMGJ has constant value "0.0"Constant
CPZMPBY has constant value "0.0"Constant
LNGBURD has constant value "1"Constant
BQEDTSY has constant value "1"Constant
ILGYBTA has constant value "41.0"Constant
LGRGANO has constant value "1"Constant
IPLONQP has constant value "1"Constant
SZWWWHI has constant value "1.0"Constant
FJXWXPI has constant value "47.0"Constant
RQVRYXC has constant value "1"Constant
WMZGUWK has constant value "1"Constant
VWPFOKV has constant value "1"Constant
AKRJZVC has constant value "1"Constant
HGONGZK has constant value "47.0"Constant
VDOFXVB has constant value "1"Constant
TMSJMYI has constant value "1"Constant
CRYLNZI has constant value "1.0"Constant
MRDZBFN has constant value "1.0"Constant
QXTPTQN has constant value "47.0"Constant
ELXUMTI has constant value "1"Constant
KNYSSTU has constant value "1"Constant
LJGDTWM has constant value "47.0"Constant
JZVNCXT has 6853 (18.9%) missing valuesMissing
JMFGDPB has 6853 (18.9%) missing valuesMissing
SETVSTN has 6853 (18.9%) missing valuesMissing
DUOKWOI has 6853 (18.9%) missing valuesMissing
SHLZRCB has 6853 (18.9%) missing valuesMissing
UILLRWJ has 6853 (18.9%) missing valuesMissing
RTYTHAC has 6853 (18.9%) missing valuesMissing
VSPXQWL has 6853 (18.9%) missing valuesMissing
XIVOAXI has 6853 (18.9%) missing valuesMissing
CKTRRMV has 6853 (18.9%) missing valuesMissing
MXNLYUW has 6853 (18.9%) missing valuesMissing
NFRPIGQ has 6853 (18.9%) missing valuesMissing
KKMOSNN has 6853 (18.9%) missing valuesMissing
KYJTYYF has 6853 (18.9%) missing valuesMissing
QDZIZBN has 6853 (18.9%) missing valuesMissing
YRLOEIR has 6853 (18.9%) missing valuesMissing
WTARSLQ has 6853 (18.9%) missing valuesMissing
AWMGPPL has 6853 (18.9%) missing valuesMissing
RXLZZHO has 6853 (18.9%) missing valuesMissing
SJZKEVZ has 6853 (18.9%) missing valuesMissing
OPLXQJS has 6853 (18.9%) missing valuesMissing
VAGMJKH has 6853 (18.9%) missing valuesMissing
SHXMZYS has 6853 (18.9%) missing valuesMissing
LTDFQFZ has 6853 (18.9%) missing valuesMissing
TLJYWBE has 798 (2.2%) missing valuesMissing
WTMETCB is highly skewed (γ1 = 27.1417658)Skewed
LNZGNNA is highly skewed (γ1 = 70.8426088)Skewed
UZXVNSW is highly skewed (γ1 = 74.1824015)Skewed
PKCUSYS is highly skewed (γ1 = 129.7717426)Skewed
IQOCYUU is highly skewed (γ1 = -28.99360017)Skewed
AIKOJYC is highly skewed (γ1 = 64.02692795)Skewed
NYWUAUO is highly skewed (γ1 = 73.85754508)Skewed
KPQSPBC is highly skewed (γ1 = 66.59719641)Skewed
XRUUCHW is highly skewed (γ1 = -134.132397)Skewed
BDROJVQ is highly skewed (γ1 = -32.64781439)Skewed
LEFUBNX is highly skewed (γ1 = -33.5041398)Skewed
CNKJBOO is highly skewed (γ1 = -32.2138894)Skewed
AZLIRWB is highly skewed (γ1 = -90.56729633)Skewed
XJCMQSV is highly skewed (γ1 = -98.78440575)Skewed
DCDCWXQ is highly skewed (γ1 = -20.89490547)Skewed
DIKRMOL is highly skewed (γ1 = -81.2949866)Skewed
TLJYWBE is highly skewed (γ1 = 120.5218213)Skewed
TXEIVQY has 35764 (98.5%) zerosZeros
ALVJYOA has 35729 (98.4%) zerosZeros
PYGQGOY has 19432 (53.5%) zerosZeros
KWGZVQN has 35516 (97.8%) zerosZeros
OULTOYT has 19425 (53.5%) zerosZeros
WTMETCB has 19432 (53.5%) zerosZeros
LNZGNNA has 35516 (97.8%) zerosZeros
QNIBUZZ has 28247 (77.8%) zerosZeros
ILHBFRB has 28258 (77.8%) zerosZeros
HVHDNTE has 35984 (99.1%) zerosZeros
UZXVNSW has 28258 (77.8%) zerosZeros
PKCUSYS has 35984 (99.1%) zerosZeros
ZMOCACF has 35732 (98.4%) zerosZeros
OETLBRB has 35822 (98.6%) zerosZeros
BKAHOMJ has 35797 (98.6%) zerosZeros
SHAHZCX has 35761 (98.5%) zerosZeros
EAZAMWH has 35812 (98.6%) zerosZeros
SHEGNUT has 35729 (98.4%) zerosZeros
DKOVDCG has 5343 (14.7%) zerosZeros
BADESAP has 35825 (98.7%) zerosZeros
OOBREVT has 35839 (98.7%) zerosZeros
RLHGEVY has 34213 (94.2%) zerosZeros
SETVSTN has 2042 (5.6%) zerosZeros
EWKETJA has 36313 (> 99.9%) zerosZeros
YEPIWSP has 35788 (98.6%) zerosZeros
OPYOPFC has 35822 (98.6%) zerosZeros
QRYQRQW has 35295 (97.2%) zerosZeros
RTYTHAC has 2042 (5.6%) zerosZeros
XTPPJMK has 35899 (98.9%) zerosZeros
QHIQJKY has 36012 (99.2%) zerosZeros
IJTGMGJ has 36311 (> 99.9%) zerosZeros
CPZMPBY has 36311 (> 99.9%) zerosZeros
MXNLYUW has 2042 (5.6%) zerosZeros
BGYZPRZ has 35767 (98.5%) zerosZeros
BBMREOD has 35765 (98.5%) zerosZeros
RQTEIMY has 33858 (93.2%) zerosZeros
QDZIZBN has 2042 (5.6%) zerosZeros
EDQZDFY has 10016 (27.6%) zerosZeros
OBFPKIQ has 35796 (98.6%) zerosZeros
CPFOOLV has 35797 (98.6%) zerosZeros
IYFABDO has 34565 (95.2%) zerosZeros
RXLZZHO has 2042 (5.6%) zerosZeros
PIJMPQK has 3954 (10.9%) zerosZeros
FFRECAD has 35785 (98.5%) zerosZeros
THFGWMH has 35790 (98.6%) zerosZeros
ZSCIZXU has 34806 (95.8%) zerosZeros
SHXMZYS has 2042 (5.6%) zerosZeros
TQZKVZQ has 35843 (98.7%) zerosZeros
EIQECLF has 35807 (98.6%) zerosZeros
NMWUWJL has 31823 (87.6%) zerosZeros

Reproduction

Analysis started2024-08-10 10:42:05.494992
Analysis finished2024-08-10 10:42:29.586531
Duration24.09 seconds
Software versionydata-profiling vv4.9.0
Download configurationconfig.json

Variables

HKTLMYY
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.484000661
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:30.214463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.288665992
Coefficient of variation (CV)0.5104071488
Kurtosis-1.235903642
Mean4.484000661
Median Absolute Deviation (MAD)2
Skewness0.006532249969
Sum162832
Variance5.237992024
MonotonicityNot monotonic
2024-08-10T10:42:30.601377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 4585
12.6%
3 4580
12.6%
6 4578
12.6%
2 4553
12.5%
5 4539
12.5%
4 4525
12.5%
7 4494
12.4%
8 4460
12.3%
ValueCountFrequency (%)
1 4585
12.6%
2 4553
12.5%
3 4580
12.6%
4 4525
12.5%
5 4539
12.5%
ValueCountFrequency (%)
8 4460
12.3%
7 4494
12.4%
6 4578
12.6%
5 4539
12.5%
4 4525
12.5%

RFLFROK
Real number (ℝ)

Distinct518
Distinct (%)1.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-14.37753078
Minimum-39.66319561
Maximum14.78123665
Zeros0
Zeros (%)0.0%
Negative36146
Negative (%)99.5%
Memory size567.4 KiB
2024-08-10T10:42:31.124468image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-39.66319561
5-th percentile-23.03028107
Q1-18.18192005
median-14.61279392
Q3-10.87546349
95-th percentile-5.521893501
Maximum14.78123665
Range54.44443226
Interquartile range (IQR)7.306456566

Descriptive statistics

Standard deviation5.234982854
Coefficient of variation (CV)-0.3641086173
Kurtosis0.07696159308
Mean-14.37753078
Median Absolute Deviation (MAD)3.569126129
Skewness0.1196051978
Sum-522076.8979
Variance27.40504548
MonotonicityNot monotonic
2024-08-10T10:42:31.613361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-15.016675 473
 
1.3%
-14.91582394 455
 
1.3%
-15.11776447 445
 
1.2%
-13.33343983 444
 
1.2%
-13.43429089 432
 
1.2%
-16.59953594 428
 
1.2%
-13.23235035 417
 
1.1%
-14.81485367 406
 
1.1%
-16.80135727 400
 
1.1%
-16.70026779 399
 
1.1%
Other values (508) 32013
88.2%
ValueCountFrequency (%)
-39.66319561 1
< 0.1%
-38.48481178 1
< 0.1%
-33.33353996 1
< 0.1%
-33.23233128 1
< 0.1%
-33.1312418 1
< 0.1%
ValueCountFrequency (%)
14.78123665 1
< 0.1%
11.61623001 1
< 0.1%
11.51525974 1
< 0.1%
10.13457775 1
< 0.1%
9.932637215 1
< 0.1%

OCFKMIL
Real number (ℝ)

Distinct472
Distinct (%)1.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-13.08813112
Minimum-35.21871567
Maximum14.17505741
Zeros0
Zeros (%)0.0%
Negative36111
Negative (%)99.4%
Memory size567.4 KiB
2024-08-10T10:42:32.064698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-35.21871567
5-th percentile-21.07751369
Q1-16.70026779
median-13.06390762
Q3-9.494900703
95-th percentile-4.646420479
Maximum14.17505741
Range49.39377308
Interquartile range (IQR)7.205367088

Descriptive statistics

Standard deviation5.053289232
Coefficient of variation (CV)-0.3860970819
Kurtosis0.05368329468
Mean-13.08813112
Median Absolute Deviation (MAD)3.56900692
Skewness0.1261945065
Sum-475256.2171
Variance25.53573206
MonotonicityNot monotonic
2024-08-10T10:42:32.530437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-12.25590706 519
 
1.4%
-14.04058933 506
 
1.4%
-12.35687733 504
 
1.4%
-14.14144039 472
 
1.3%
-10.67340374 466
 
1.3%
-13.93938065 457
 
1.3%
-12.4579668 450
 
1.2%
-15.72394371 447
 
1.2%
-10.77461243 443
 
1.2%
-15.82491398 442
 
1.2%
Other values (462) 31606
87.0%
ValueCountFrequency (%)
-35.21871567 1
< 0.1%
-33.93936157 1
< 0.1%
-32.45794773 1
< 0.1%
-31.17847443 1
< 0.1%
-30.67338467 2
< 0.1%
ValueCountFrequency (%)
14.17505741 1
< 0.1%
12.59255409 1
< 0.1%
9.2253685 1
< 0.1%
8.552193642 1
< 0.1%
8.249282837 1
< 0.1%

LIXROQF
Real number (ℝ)

Distinct449
Distinct (%)1.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-11.97791573
Minimum-34.44445133
Maximum15.25259018
Zeros13
Zeros (%)< 0.1%
Negative36015
Negative (%)99.2%
Memory size567.4 KiB
2024-08-10T10:42:32.941137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-34.44445133
5-th percentile-19.79792118
Q1-15.05053043
median-11.78455353
Q3-8.518576622
95-th percentile-4.141449928
Maximum15.25259018
Range49.69704151
Interquartile range (IQR)6.531953812

Descriptive statistics

Standard deviation4.869012691
Coefficient of variation (CV)-0.4064991607
Kurtosis0.03577556701
Mean-11.97791573
Median Absolute Deviation (MAD)3.265976906
Skewness0.0812086312
Sum-434942.076
Variance23.70728459
MonotonicityNot monotonic
2024-08-10T10:42:33.413741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13.06390762 575
 
1.6%
-11.38043404 560
 
1.5%
-13.1649971 530
 
1.5%
-12.96293736 530
 
1.5%
-11.4814043 517
 
1.4%
-11.27934456 514
 
1.4%
-14.64641094 497
 
1.4%
-9.696960449 496
 
1.4%
-11.58249378 479
 
1.3%
-14.54544067 478
 
1.3%
Other values (439) 31136
85.7%
ValueCountFrequency (%)
-34.44445133 1
< 0.1%
-31.78453445 1
< 0.1%
-29.79791164 2
< 0.1%
-29.69694138 1
< 0.1%
-29.59597111 1
< 0.1%
ValueCountFrequency (%)
15.25259018 1
< 0.1%
12.49158382 1
< 0.1%
12.28964329 1
< 0.1%
11.01005077 1
< 0.1%
10.40410995 1
< 0.1%

BMDJBLU
Real number (ℝ)

Distinct402
Distinct (%)1.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-9.701668448
Minimum-29.89900112
Maximum25.35355091
Zeros35
Zeros (%)0.1%
Negative35683
Negative (%)98.3%
Memory size567.4 KiB
2024-08-10T10:42:33.896678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-29.89900112
5-th percentile-17.23909378
Q1-13.06390762
median-9.999990463
Q3-6.734013557
95-th percentile-1.98662281
Maximum25.35355091
Range55.25255203
Interquartile range (IQR)6.329894066

Descriptive statistics

Standard deviation4.72836236
Coefficient of variation (CV)-0.487376206
Kurtosis0.001582836808
Mean-9.701668448
Median Absolute Deviation (MAD)3.265976906
Skewness0.046456201
Sum-352286.9847
Variance22.35741061
MonotonicityNot monotonic
2024-08-10T10:42:34.390339image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8.720636368 622
 
1.7%
-10.50508022 593
 
1.6%
-7.037043571 569
 
1.6%
-10.40410995 564
 
1.6%
-8.821606636 556
 
1.5%
-10.30302048 552
 
1.5%
-8.61954689 551
 
1.5%
-10.6061697 539
 
1.5%
-7.138133049 520
 
1.4%
-8.922576904 513
 
1.4%
Other values (392) 30733
84.6%
ValueCountFrequency (%)
-29.89900112 1
< 0.1%
-28.82158756 1
< 0.1%
-28.61952782 1
< 0.1%
-28.51855755 2
< 0.1%
-26.93605423 1
< 0.1%
ValueCountFrequency (%)
25.35355091 1
< 0.1%
12.86184788 1
< 0.1%
11.17837429 1
< 0.1%
9.595870972 2
< 0.1%
8.989930153 1
< 0.1%

JORKKSF
Real number (ℝ)

Distinct183
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.731947235
Minimum1.571
Maximum1.924
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:34.845272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.571
5-th percentile1.663
Q11.702
median1.731
Q31.761
95-th percentile1.803
Maximum1.924
Range0.353
Interquartile range (IQR)0.059

Descriptive statistics

Standard deviation0.0427589165
Coefficient of variation (CV)0.02468834826
Kurtosis-0.07762511862
Mean1.731947235
Median Absolute Deviation (MAD)0.029
Skewness0.09633542309
Sum62890.468
Variance0.00182832494
MonotonicityNot monotonic
2024-08-10T10:42:35.201382image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.732 600
 
1.7%
1.731 576
 
1.6%
1.724 568
 
1.6%
1.736 566
 
1.6%
1.721 561
 
1.5%
1.727 559
 
1.5%
1.739 559
 
1.5%
1.742 546
 
1.5%
1.722 545
 
1.5%
1.714 543
 
1.5%
Other values (173) 30689
84.5%
ValueCountFrequency (%)
1.571 1
 
< 0.1%
1.581 1
 
< 0.1%
1.586 3
< 0.1%
1.593 2
< 0.1%
1.596 1
 
< 0.1%
ValueCountFrequency (%)
1.924 1
< 0.1%
1.902 1
< 0.1%
1.896 2
< 0.1%
1.894 1
< 0.1%
1.892 1
< 0.1%

VEUJYWN
Real number (ℝ)

Distinct172
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.666865251
Minimum1.52
Maximum1.857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:35.515375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.52
5-th percentile1.601
Q11.64
median1.667
Q31.694
95-th percentile1.734
Maximum1.857
Range0.337
Interquartile range (IQR)0.054

Descriptive statistics

Standard deviation0.04012545722
Coefficient of variation (CV)0.02407240609
Kurtosis-0.07856685661
Mean1.666865251
Median Absolute Deviation (MAD)0.027
Skewness0.0874259622
Sum60527.211
Variance0.001610052317
MonotonicityNot monotonic
2024-08-10T10:42:35.819511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.667 625
 
1.7%
1.668 622
 
1.7%
1.67 619
 
1.7%
1.675 606
 
1.7%
1.665 603
 
1.7%
1.673 599
 
1.6%
1.652 595
 
1.6%
1.672 592
 
1.6%
1.657 588
 
1.6%
1.662 586
 
1.6%
Other values (162) 30277
83.4%
ValueCountFrequency (%)
1.52 2
< 0.1%
1.529 1
< 0.1%
1.53 1
< 0.1%
1.532 1
< 0.1%
1.535 1
< 0.1%
ValueCountFrequency (%)
1.857 1
 
< 0.1%
1.832 1
 
< 0.1%
1.823 1
 
< 0.1%
1.82 1
 
< 0.1%
1.818 3
< 0.1%

SOLTBDE
Real number (ℝ)

Distinct163
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.599880811
Minimum1.461
Maximum1.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:36.168909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.461
5-th percentile1.539
Q11.574
median1.599
Q31.625
95-th percentile1.662
Maximum1.79
Range0.329
Interquartile range (IQR)0.051

Descriptive statistics

Standard deviation0.03774957676
Coefficient of variation (CV)0.02359524316
Kurtosis-0.07500710218
Mean1.599880811
Median Absolute Deviation (MAD)0.026
Skewness0.09285189622
Sum58094.872
Variance0.001425030546
MonotonicityNot monotonic
2024-08-10T10:42:36.490109image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.608 667
 
1.8%
1.601 666
 
1.8%
1.603 656
 
1.8%
1.599 648
 
1.8%
1.589 647
 
1.8%
1.598 644
 
1.8%
1.596 631
 
1.7%
1.593 630
 
1.7%
1.594 626
 
1.7%
1.611 623
 
1.7%
Other values (153) 29874
82.3%
ValueCountFrequency (%)
1.461 1
< 0.1%
1.463 1
< 0.1%
1.471 1
< 0.1%
1.473 1
< 0.1%
1.475 1
< 0.1%
ValueCountFrequency (%)
1.79 1
< 0.1%
1.758 1
< 0.1%
1.742 2
< 0.1%
1.741 1
< 0.1%
1.739 2
< 0.1%

KGJACPV
Real number (ℝ)

Distinct154
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.530396122
Minimum1.401
Maximum1.724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:37.039210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.401
5-th percentile1.473
Q11.505
median1.53
Q31.554
95-th percentile1.589
Maximum1.724
Range0.323
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.0355579766
Coefficient of variation (CV)0.02323449209
Kurtosis-0.04986939428
Mean1.530396122
Median Absolute Deviation (MAD)0.024
Skewness0.09740187913
Sum55571.744
Variance0.0012643697
MonotonicityNot monotonic
2024-08-10T10:42:37.364791image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.527 711
 
2.0%
1.535 710
 
2.0%
1.53 704
 
1.9%
1.529 701
 
1.9%
1.522 676
 
1.9%
1.534 676
 
1.9%
1.532 665
 
1.8%
1.517 655
 
1.8%
1.537 651
 
1.8%
1.519 650
 
1.8%
Other values (144) 29513
81.3%
ValueCountFrequency (%)
1.401 1
< 0.1%
1.402 1
< 0.1%
1.411 1
< 0.1%
1.412 2
< 0.1%
1.416 2
< 0.1%
ValueCountFrequency (%)
1.724 2
< 0.1%
1.68 1
< 0.1%
1.67 1
< 0.1%
1.667 1
< 0.1%
1.665 1
< 0.1%

VPAZKWG
Real number (ℝ)

Distinct148
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.458048689
Minimum1.335
Maximum1.724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:37.665815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.335
5-th percentile1.404
Q11.434
median1.458
Q31.481
95-th percentile1.513
Maximum1.724
Range0.389
Interquartile range (IQR)0.047

Descriptive statistics

Standard deviation0.03365493292
Coefficient of variation (CV)0.02308217358
Kurtosis0.05210084851
Mean1.458048689
Median Absolute Deviation (MAD)0.023
Skewness0.1028779873
Sum52944.664
Variance0.00113265451
MonotonicityNot monotonic
2024-08-10T10:42:37.964589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.461 746
 
2.1%
1.463 742
 
2.0%
1.455 730
 
2.0%
1.453 723
 
2.0%
1.456 723
 
2.0%
1.449 711
 
2.0%
1.465 709
 
2.0%
1.458 705
 
1.9%
1.46 703
 
1.9%
1.446 696
 
1.9%
Other values (138) 29124
80.2%
ValueCountFrequency (%)
1.335 1
 
< 0.1%
1.337 1
 
< 0.1%
1.343 1
 
< 0.1%
1.347 1
 
< 0.1%
1.348 3
< 0.1%
ValueCountFrequency (%)
1.724 1
< 0.1%
1.65 1
< 0.1%
1.601 1
< 0.1%
1.593 2
< 0.1%
1.584 1
< 0.1%

LCFCVCB
Real number (ℝ)

Distinct165
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.124131334
Minimum0.988
Maximum1.419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:38.315516image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.988
5-th percentile1.071
Q11.103
median1.123
Q31.146
95-th percentile1.18
Maximum1.419
Range0.431
Interquartile range (IQR)0.043

Descriptive statistics

Standard deviation0.03326241205
Coefficient of variation (CV)0.0295894359
Kurtosis0.4251389263
Mean1.124131334
Median Absolute Deviation (MAD)0.022
Skewness0.1049833949
Sum40819.457
Variance0.001106388055
MonotonicityNot monotonic
2024-08-10T10:42:38.603167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.131 775
 
2.1%
1.123 770
 
2.1%
1.133 760
 
2.1%
1.121 758
 
2.1%
1.113 757
 
2.1%
1.128 757
 
2.1%
1.12 753
 
2.1%
1.13 746
 
2.1%
1.118 741
 
2.0%
1.126 734
 
2.0%
Other values (155) 28761
79.2%
ValueCountFrequency (%)
0.988 1
< 0.1%
0.99 1
< 0.1%
0.992 1
< 0.1%
0.995 2
< 0.1%
0.997 1
< 0.1%
ValueCountFrequency (%)
1.419 1
< 0.1%
1.283 1
< 0.1%
1.281 1
< 0.1%
1.279 1
< 0.1%
1.274 2
< 0.1%

RRMMRAJ
Real number (ℝ)

Distinct111
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.42105767
Minimum9.212
Maximum11.467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:38.900440image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.212
5-th percentile10.034
Q110.261
median10.418
Q310.593
95-th percentile10.82
Maximum11.467
Range2.255
Interquartile range (IQR)0.332

Descriptive statistics

Standard deviation0.2428102322
Coefficient of variation (CV)0.02329996052
Kurtosis0.05738179042
Mean10.42105767
Median Absolute Deviation (MAD)0.157
Skewness0.03320406393
Sum378409.446
Variance0.05895680888
MonotonicityNot monotonic
2024-08-10T10:42:39.224098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.331 1098
 
3.0%
10.366 1069
 
2.9%
10.296 1036
 
2.9%
10.383 1030
 
2.8%
10.505 1029
 
2.8%
10.418 1029
 
2.8%
10.401 1011
 
2.8%
10.313 992
 
2.7%
10.488 979
 
2.7%
10.471 965
 
2.7%
Other values (101) 26074
71.8%
ValueCountFrequency (%)
9.212 1
< 0.1%
9.422 1
< 0.1%
9.474 1
< 0.1%
9.509 2
< 0.1%
9.527 2
< 0.1%
ValueCountFrequency (%)
11.467 1
 
< 0.1%
11.379 1
 
< 0.1%
11.345 3
< 0.1%
11.327 1
 
< 0.1%
11.31 2
< 0.1%

DAEPCOR
Real number (ℝ)

Distinct103
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.362104208
Minimum8.216
Maximum10.366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:39.540891image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum8.216
5-th percentile8.985
Q19.212
median9.369
Q39.509
95-th percentile9.736
Maximum10.366
Range2.15
Interquartile range (IQR)0.297

Descriptive statistics

Standard deviation0.2261879897
Coefficient of variation (CV)0.02415995215
Kurtosis0.05275384409
Mean9.362104208
Median Absolute Deviation (MAD)0.157
Skewness0.03069276384
Sum339956.728
Variance0.05116100668
MonotonicityNot monotonic
2024-08-10T10:42:39.818552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.387 1212
 
3.3%
9.369 1111
 
3.1%
9.264 1078
 
3.0%
9.457 1074
 
3.0%
9.439 1072
 
3.0%
9.474 1072
 
3.0%
9.299 1072
 
3.0%
9.422 1067
 
2.9%
9.334 1058
 
2.9%
9.247 1039
 
2.9%
Other values (93) 25457
70.1%
ValueCountFrequency (%)
8.216 1
< 0.1%
8.408 1
< 0.1%
8.478 2
< 0.1%
8.513 1
< 0.1%
8.53 2
< 0.1%
ValueCountFrequency (%)
10.366 1
 
< 0.1%
10.331 1
 
< 0.1%
10.261 1
 
< 0.1%
10.226 3
< 0.1%
10.208 1
 
< 0.1%

HGHMTVH
Real number (ℝ)

Distinct101
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean8.303752506
Minimum7.202
Maximum9.282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:40.117757image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.202
5-th percentile7.953
Q18.146
median8.303
Q38.443
95-th percentile8.67
Maximum9.282
Range2.08
Interquartile range (IQR)0.297

Descriptive statistics

Standard deviation0.2188081393
Coefficient of variation (CV)0.02635051311
Kurtosis0.06314204265
Mean8.303752506
Median Absolute Deviation (MAD)0.14
Skewness0.02101517383
Sum301525.861
Variance0.04787700181
MonotonicityNot monotonic
2024-08-10T10:42:40.426775image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.268 1253
 
3.5%
8.32 1242
 
3.4%
8.355 1234
 
3.4%
8.338 1221
 
3.4%
8.303 1206
 
3.3%
8.373 1161
 
3.2%
8.286 1107
 
3.0%
8.251 1077
 
3.0%
8.39 1057
 
2.9%
8.408 1040
 
2.9%
Other values (91) 24714
68.1%
ValueCountFrequency (%)
7.202 1
< 0.1%
7.429 2
< 0.1%
7.464 2
< 0.1%
7.481 2
< 0.1%
7.499 2
< 0.1%
ValueCountFrequency (%)
9.282 1
 
< 0.1%
9.264 1
 
< 0.1%
9.177 1
 
< 0.1%
9.16 1
 
< 0.1%
9.107 3
< 0.1%

NUTXJCG
Real number (ℝ)

Distinct155
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.924838511
Minimum0.577
Maximum3.479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:40.705628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.577
5-th percentile1.363
Q11.696
median1.923
Q32.15
95-th percentile2.482
Maximum3.479
Range2.902
Interquartile range (IQR)0.454

Descriptive statistics

Standard deviation0.3389091387
Coefficient of variation (CV)0.1760714662
Kurtosis0.2127521085
Mean1.924838511
Median Absolute Deviation (MAD)0.227
Skewness0.03666021906
Sum69894.736
Variance0.1148594043
MonotonicityNot monotonic
2024-08-10T10:42:40.986927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.888 855
 
2.4%
1.94 823
 
2.3%
1.905 812
 
2.2%
1.835 803
 
2.2%
1.975 799
 
2.2%
1.923 794
 
2.2%
1.87 775
 
2.1%
1.993 762
 
2.1%
1.958 748
 
2.1%
2.115 737
 
2.0%
Other values (145) 28404
78.2%
ValueCountFrequency (%)
0.577 1
 
< 0.1%
0.647 1
 
< 0.1%
0.682 1
 
< 0.1%
0.699 1
 
< 0.1%
0.717 4
< 0.1%
ValueCountFrequency (%)
3.479 1
< 0.1%
3.409 1
< 0.1%
3.374 1
< 0.1%
3.356 1
< 0.1%
3.339 1
< 0.1%

XMVIFQS
Real number (ℝ)

Distinct36259
Distinct (%)99.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.1708101331
Minimum-0.428581195
Maximum0.1396542161
Zeros0
Zeros (%)0.0%
Negative36033
Negative (%)99.2%
Memory size567.4 KiB
2024-08-10T10:42:41.293531image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.428581195
5-th percentile-0.2928326145
Q1-0.2191664817
median-0.1703245114
Q3-0.1210411652
95-th percentile-0.05140662931
Maximum0.1396542161
Range0.568235411
Interquartile range (IQR)0.0981253165

Descriptive statistics

Standard deviation0.07305059337
Coefficient of variation (CV)-0.4276713099
Kurtosis-0.03396212904
Mean-0.1708101331
Median Absolute Deviation (MAD)0.04906341536
Skewness-0.05210660838
Sum-6202.457553
Variance0.005336389191
MonotonicityNot monotonic
2024-08-10T10:42:41.593137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1579426718 2
 
< 0.1%
-0.09530398526 2
 
< 0.1%
-0.2227639471 2
 
< 0.1%
-0.1453683218 2
 
< 0.1%
-0.1783866363 2
 
< 0.1%
-0.0990558329 2
 
< 0.1%
-0.06637612518 2
 
< 0.1%
-0.2544925308 2
 
< 0.1%
-0.1761294943 2
 
< 0.1%
-0.200599555 2
 
< 0.1%
Other values (36249) 36292
99.9%
ValueCountFrequency (%)
-0.428581195 1
< 0.1%
-0.4269955699 1
< 0.1%
-0.4218484653 1
< 0.1%
-0.4193938341 1
< 0.1%
-0.4165288412 1
< 0.1%
ValueCountFrequency (%)
0.1396542161 1
< 0.1%
0.130346147 1
< 0.1%
0.124781299 1
< 0.1%
0.09942981809 1
< 0.1%
0.09011660499 1
< 0.1%

MWHYOSB
Real number (ℝ)

Distinct36240
Distinct (%)99.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.1600718602
Minimum-0.4127509055
Maximum0.1726572865
Zeros2
Zeros (%)< 0.1%
Negative35884
Negative (%)98.8%
Memory size567.4 KiB
2024-08-10T10:42:41.879498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.4127509055
5-th percentile-0.2809299765
Q1-0.208407043
median-0.1598618697
Q3-0.1108158604
95-th percentile-0.04092853554
Maximum0.1726572865
Range0.585408192
Interquartile range (IQR)0.09759118265

Descriptive statistics

Standard deviation0.07239729646
Coefficient of variation (CV)-0.452279972
Kurtosis-0.05625497606
Mean-0.1600718602
Median Absolute Deviation (MAD)0.04878041333
Skewness-0.03633486993
Sum-5812.529389
Variance0.005241368535
MonotonicityNot monotonic
2024-08-10T10:42:42.185558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1579426718 3
 
< 0.1%
-0.1968555612 2
 
< 0.1%
-0.1984555769 2
 
< 0.1%
-0.1707799913 2
 
< 0.1%
-0.2131221674 2
 
< 0.1%
-0.1901914595 2
 
< 0.1%
-0.05782968029 2
 
< 0.1%
-0.2189428754 2
 
< 0.1%
-0.2208752996 2
 
< 0.1%
-0.1592717818 2
 
< 0.1%
Other values (36230) 36291
99.9%
ValueCountFrequency (%)
-0.4127509055 1
< 0.1%
-0.409578607 1
< 0.1%
-0.4057106241 1
< 0.1%
-0.4041249216 1
< 0.1%
-0.4027570304 1
< 0.1%
ValueCountFrequency (%)
0.1726572865 1
< 0.1%
0.1170077647 1
< 0.1%
0.1136980237 1
< 0.1%
0.1090283404 1
< 0.1%
0.09820234081 1
< 0.1%

HWKCDPO
Real number (ℝ)

Distinct36223
Distinct (%)99.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.1472484875
Minimum-0.3965414632
Maximum0.206852429
Zeros1
Zeros (%)< 0.1%
Negative35579
Negative (%)98.0%
Memory size567.4 KiB
2024-08-10T10:42:42.780297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.3965414632
5-th percentile-0.2669432515
Q1-0.19552229
median-0.1471848645
Q3-0.0983409506
95-th percentile-0.028831925
Maximum0.206852429
Range0.6033938922
Interquartile range (IQR)0.09718133938

Descriptive statistics

Standard deviation0.07216790288
Coefficient of variation (CV)-0.4901096378
Kurtosis-0.06353699128
Mean-0.1472484875
Median Absolute Deviation (MAD)0.04858503299
Skewness-0.01653619754
Sum-5346.887078
Variance0.005208206205
MonotonicityNot monotonic
2024-08-10T10:42:43.203732image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1336396156 3
 
< 0.1%
-0.2227639471 3
 
< 0.1%
-0.1650040487 2
 
< 0.1%
-0.1490858339 2
 
< 0.1%
-0.1379274187 2
 
< 0.1%
-0.252675706 2
 
< 0.1%
-0.174748812 2
 
< 0.1%
-0.1466799955 2
 
< 0.1%
-0.1266169847 2
 
< 0.1%
-0.2239493363 2
 
< 0.1%
Other values (36213) 36290
99.9%
ValueCountFrequency (%)
-0.3965414632 1
< 0.1%
-0.3960150186 1
< 0.1%
-0.3953809688 1
< 0.1%
-0.3908722316 1
< 0.1%
-0.3902657309 1
< 0.1%
ValueCountFrequency (%)
0.206852429 1
< 0.1%
0.1226826812 1
< 0.1%
0.1161869481 1
< 0.1%
0.1052213077 1
< 0.1%
0.09607270436 1
< 0.1%

LKFNGDB
Real number (ℝ)

Distinct36187
Distinct (%)99.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.1259003179
Minimum-0.3800194443
Maximum0.1769768932
Zeros3
Zeros (%)< 0.1%
Negative34730
Negative (%)95.6%
Memory size567.4 KiB
2024-08-10T10:42:43.525518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.3800194443
5-th percentile-0.2474968638
Q1-0.1756904005
median-0.126044065
Q3-0.07582879913
95-th percentile-0.004893427886
Maximum0.1769768932
Range0.5569963375
Interquartile range (IQR)0.09986160135

Descriptive statistics

Standard deviation0.07374285986
Coefficient of variation (CV)-0.5857241753
Kurtosis-0.07118070551
Mean-0.1259003179
Median Absolute Deviation (MAD)0.04992850433
Skewness-0.002789896076
Sum-4571.692343
Variance0.00543800938
MonotonicityNot monotonic
2024-08-10T10:42:43.848638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1241998767 3
 
< 0.1%
-0.170333393 3
 
< 0.1%
0 3
 
< 0.1%
-0.1772876696 3
 
< 0.1%
-0.1676592294 2
 
< 0.1%
-0.1358021824 2
 
< 0.1%
-0.09632719471 2
 
< 0.1%
-0.2023902774 2
 
< 0.1%
-0.1691214291 2
 
< 0.1%
-0.2502676566 2
 
< 0.1%
Other values (36177) 36288
99.9%
ValueCountFrequency (%)
-0.3800194443 1
< 0.1%
-0.3798664069 1
< 0.1%
-0.378407584 1
< 0.1%
-0.3739056474 1
< 0.1%
-0.369847181 1
< 0.1%
ValueCountFrequency (%)
0.1769768932 1
< 0.1%
0.1656454362 1
< 0.1%
0.13840578 1
< 0.1%
0.136825737 1
< 0.1%
0.1295101698 1
< 0.1%

EEGYIGX
Real number (ℝ)

Distinct1384
Distinct (%)3.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.65505775
Minimum4.592
Maximum6.557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:44.161153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.592
5-th percentile5.215
Q15.459
median5.671
Q35.853
95-th percentile6.058
Maximum6.557
Range1.965
Interquartile range (IQR)0.394

Descriptive statistics

Standard deviation0.260523509
Coefficient of variation (CV)0.04606911557
Kurtosis-0.5936278801
Mean5.65505775
Median Absolute Deviation (MAD)0.195
Skewness-0.1321727199
Sum205346.457
Variance0.06787249874
MonotonicityNot monotonic
2024-08-10T10:42:44.466555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.856 67
 
0.2%
5.797 67
 
0.2%
5.851 65
 
0.2%
5.853 65
 
0.2%
5.784 65
 
0.2%
5.854 64
 
0.2%
5.756 63
 
0.2%
5.865 62
 
0.2%
5.864 62
 
0.2%
5.783 62
 
0.2%
Other values (1374) 35670
98.2%
ValueCountFrequency (%)
4.592 1
< 0.1%
4.785 1
< 0.1%
4.846 1
< 0.1%
4.862 1
< 0.1%
4.863 1
< 0.1%
ValueCountFrequency (%)
6.557 1
< 0.1%
6.492 2
< 0.1%
6.426 1
< 0.1%
6.421 1
< 0.1%
6.415 1
< 0.1%

QJXZQSD
Real number (ℝ)

Distinct1276
Distinct (%)3.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.375835123
Minimum4.345
Maximum6.201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:44.804029image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.345
5-th percentile4.972
Q15.196
median5.39
Q35.557
95-th percentile5.748
Maximum6.201
Range1.856
Interquartile range (IQR)0.361

Descriptive statistics

Standard deviation0.2395345826
Coefficient of variation (CV)0.04455765051
Kurtosis-0.596364285
Mean5.375835123
Median Absolute Deviation (MAD)0.18
Skewness-0.1330679868
Sum195207.325
Variance0.05737681628
MonotonicityNot monotonic
2024-08-10T10:42:45.239718image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.472 77
 
0.2%
5.502 75
 
0.2%
5.489 73
 
0.2%
5.362 71
 
0.2%
5.469 70
 
0.2%
5.431 70
 
0.2%
5.56 69
 
0.2%
5.557 68
 
0.2%
5.325 68
 
0.2%
5.48 68
 
0.2%
Other values (1266) 35603
98.0%
ValueCountFrequency (%)
4.345 1
< 0.1%
4.591 1
< 0.1%
4.656 1
< 0.1%
4.667 1
< 0.1%
4.67 1
< 0.1%
ValueCountFrequency (%)
6.201 1
< 0.1%
6.141 1
< 0.1%
6.113 1
< 0.1%
6.095 1
< 0.1%
6.084 1
< 0.1%

QWVFRRZ
Real number (ℝ)

Distinct1181
Distinct (%)3.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.019569701
Minimum4.041
Maximum5.758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:45.734696image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.041
5-th percentile4.652
Q14.856
median5.031
Q35.184
95-th percentile5.361
Maximum5.758
Range1.717
Interquartile range (IQR)0.328

Descriptive statistics

Standard deviation0.2186257459
Coefficient of variation (CV)0.04355467876
Kurtosis-0.5758439154
Mean5.019569701
Median Absolute Deviation (MAD)0.164
Skewness-0.1223301614
Sum182270.615
Variance0.04779721675
MonotonicityNot monotonic
2024-08-10T10:42:46.238646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.118 82
 
0.2%
5.101 79
 
0.2%
5.125 78
 
0.2%
5.132 77
 
0.2%
5.086 77
 
0.2%
5.143 75
 
0.2%
5.078 75
 
0.2%
5.141 74
 
0.2%
5.111 74
 
0.2%
5.13 74
 
0.2%
Other values (1171) 35547
97.9%
ValueCountFrequency (%)
4.041 1
< 0.1%
4.316 1
< 0.1%
4.349 1
< 0.1%
4.359 1
< 0.1%
4.369 2
< 0.1%
ValueCountFrequency (%)
5.758 1
< 0.1%
5.705 1
< 0.1%
5.695 2
< 0.1%
5.661 1
< 0.1%
5.651 1
< 0.1%

EYILHOU
Real number (ℝ)

Distinct1084
Distinct (%)3.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.595187927
Minimum3.694
Maximum5.245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:46.703393image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.694
5-th percentile4.262
Q14.45
median4.604
Q34.742
95-th percentile4.904
Maximum5.245
Range1.551
Interquartile range (IQR)0.292

Descriptive statistics

Standard deviation0.1971467129
Coefficient of variation (CV)0.04290286187
Kurtosis-0.5340637927
Mean4.595187927
Median Absolute Deviation (MAD)0.146
Skewness-0.1115759602
Sum166860.464
Variance0.0388668264
MonotonicityNot monotonic
2024-08-10T10:42:47.202203image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.698 87
 
0.2%
4.682 86
 
0.2%
4.699 84
 
0.2%
4.661 83
 
0.2%
4.631 83
 
0.2%
4.549 83
 
0.2%
4.634 81
 
0.2%
4.624 81
 
0.2%
4.672 80
 
0.2%
4.641 79
 
0.2%
Other values (1074) 35485
97.7%
ValueCountFrequency (%)
3.694 1
< 0.1%
3.981 1
< 0.1%
3.986 1
< 0.1%
3.988 1
< 0.1%
3.992 1
< 0.1%
ValueCountFrequency (%)
5.245 1
< 0.1%
5.225 1
< 0.1%
5.206 1
< 0.1%
5.202 1
< 0.1%
5.184 1
< 0.1%

JHQKHHL
Real number (ℝ)

Distinct1000
Distinct (%)2.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.115799598
Minimum3.304
Maximum4.712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:47.634395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.818
Q13.988
median4.123
Q34.245
95-th percentile4.395
Maximum4.712
Range1.408
Interquartile range (IQR)0.257

Descriptive statistics

Standard deviation0.1765949336
Coefficient of variation (CV)0.04290659187
Kurtosis-0.4613327238
Mean4.115799598
Median Absolute Deviation (MAD)0.128
Skewness-0.092308242
Sum149452.915
Variance0.03118577056
MonotonicityNot monotonic
2024-08-10T10:42:48.144707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.228 98
 
0.3%
4.187 98
 
0.3%
4.21 97
 
0.3%
4.17 93
 
0.3%
4.082 91
 
0.3%
4.163 90
 
0.2%
4.123 89
 
0.2%
4.189 87
 
0.2%
4.115 87
 
0.2%
4.161 87
 
0.2%
Other values (990) 35395
97.5%
ValueCountFrequency (%)
3.304 1
< 0.1%
3.552 1
< 0.1%
3.562 1
< 0.1%
3.571 1
< 0.1%
3.572 1
< 0.1%
ValueCountFrequency (%)
4.712 1
< 0.1%
4.684 1
< 0.1%
4.675 1
< 0.1%
4.667 1
< 0.1%
4.657 1
< 0.1%

MIIVLBT
Real number (ℝ)

Distinct938
Distinct (%)2.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.588699135
Minimum2.882
Maximum4.121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:48.628719image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.882
5-th percentile3.323
Q13.476
median3.593
Q33.703
95-th percentile3.843
Maximum4.121
Range1.239
Interquartile range (IQR)0.227

Descriptive statistics

Standard deviation0.1586437131
Coefficient of variation (CV)0.0442064679
Kurtosis-0.3380379649
Mean3.588699135
Median Absolute Deviation (MAD)0.113
Skewness-0.05703047098
Sum130312.843
Variance0.02516782771
MonotonicityNot monotonic
2024-08-10T10:42:49.163432image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.611 111
 
0.3%
3.602 109
 
0.3%
3.612 106
 
0.3%
3.67 106
 
0.3%
3.657 102
 
0.3%
3.575 102
 
0.3%
3.51 101
 
0.3%
3.662 99
 
0.3%
3.616 99
 
0.3%
3.618 99
 
0.3%
Other values (928) 35278
97.1%
ValueCountFrequency (%)
2.882 1
< 0.1%
3.017 1
< 0.1%
3.065 1
< 0.1%
3.069 1
< 0.1%
3.09 2
< 0.1%
ValueCountFrequency (%)
4.121 1
< 0.1%
4.111 1
< 0.1%
4.107 1
< 0.1%
4.101 1
< 0.1%
4.096 1
< 0.1%

QVOHUMP
Real number (ℝ)

Distinct886
Distinct (%)2.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.028013494
Minimum2.475
Maximum3.595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:49.642072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.475
5-th percentile2.807
Q12.927
median3.025
Q33.126
95-th percentile3.264
Maximum3.595
Range1.12
Interquartile range (IQR)0.199

Descriptive statistics

Standard deviation0.1409842964
Coefficient of variation (CV)0.04655999606
Kurtosis-0.1828085833
Mean3.028013494
Median Absolute Deviation (MAD)0.099
Skewness0.1120441814
Sum109953.226
Variance0.01987657182
MonotonicityNot monotonic
2024-08-10T10:42:50.108303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.012 117
 
0.3%
3.07 116
 
0.3%
3.058 114
 
0.3%
3.024 114
 
0.3%
3.02 113
 
0.3%
3.008 113
 
0.3%
3.044 113
 
0.3%
3.028 112
 
0.3%
2.982 112
 
0.3%
3.051 110
 
0.3%
Other values (876) 35178
96.9%
ValueCountFrequency (%)
2.475 1
< 0.1%
2.501 1
< 0.1%
2.515 2
< 0.1%
2.53 1
< 0.1%
2.534 2
< 0.1%
ValueCountFrequency (%)
3.595 1
< 0.1%
3.578 1
< 0.1%
3.576 1
< 0.1%
3.545 1
< 0.1%
3.543 1
< 0.1%

VCSGLFK
Real number (ℝ)

Distinct976
Distinct (%)2.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.450227638
Minimum1.793
Maximum3.059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:50.420372image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.793
5-th percentile2.185
Q12.354
median2.456
Q32.551
95-th percentile2.692
Maximum3.059
Range1.266
Interquartile range (IQR)0.197

Descriptive statistics

Standard deviation0.1519051081
Coefficient of variation (CV)0.06199632463
Kurtosis0.1507277233
Mean2.450227638
Median Absolute Deviation (MAD)0.099
Skewness-0.1565180822
Sum88972.666
Variance0.02307516186
MonotonicityNot monotonic
2024-08-10T10:42:50.741083image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.483 130
 
0.4%
2.471 128
 
0.4%
2.475 127
 
0.3%
2.485 118
 
0.3%
2.462 118
 
0.3%
2.415 117
 
0.3%
2.457 116
 
0.3%
2.479 116
 
0.3%
2.413 114
 
0.3%
2.463 113
 
0.3%
Other values (966) 35115
96.7%
ValueCountFrequency (%)
1.793 1
< 0.1%
1.814 1
< 0.1%
1.832 1
< 0.1%
1.833 1
< 0.1%
1.838 1
< 0.1%
ValueCountFrequency (%)
3.059 1
< 0.1%
3.055 1
< 0.1%
3.028 1
< 0.1%
3.008 1
< 0.1%
2.986 1
< 0.1%

LFVWFTF
Real number (ℝ)

Distinct1024
Distinct (%)2.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.786667768
Minimum1.089
Maximum2.544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:51.071545image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.089
5-th percentile1.551
Q11.69
median1.785
Q31.881
95-th percentile2.029
Maximum2.544
Range1.455
Interquartile range (IQR)0.191

Descriptive statistics

Standard deviation0.1473366417
Coefficient of variation (CV)0.0824644874
Kurtosis0.5813264879
Mean1.786667768
Median Absolute Deviation (MAD)0.095
Skewness0.1034511525
Sum64877.48
Variance0.02170808598
MonotonicityNot monotonic
2024-08-10T10:42:51.377390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.826 121
 
0.3%
1.77 120
 
0.3%
1.761 119
 
0.3%
1.784 117
 
0.3%
1.815 117
 
0.3%
1.806 116
 
0.3%
1.75 116
 
0.3%
1.79 115
 
0.3%
1.755 115
 
0.3%
1.81 114
 
0.3%
Other values (1014) 35142
96.8%
ValueCountFrequency (%)
1.089 1
< 0.1%
1.09 1
< 0.1%
1.107 1
< 0.1%
1.182 1
< 0.1%
1.192 1
< 0.1%
ValueCountFrequency (%)
2.544 1
< 0.1%
2.524 1
< 0.1%
2.514 1
< 0.1%
2.471 1
< 0.1%
2.468 1
< 0.1%

RCJGZLT
Real number (ℝ)

Distinct1079
Distinct (%)3.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.150643974
Minimum0.44
Maximum1.949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:51.685250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.44
5-th percentile0.90055
Q11.051
median1.148
Q31.248
95-th percentile1.407
Maximum1.949
Range1.509
Interquartile range (IQR)0.197

Descriptive statistics

Standard deviation0.1551785424
Coefficient of variation (CV)0.1348623431
Kurtosis0.6263935062
Mean1.150643974
Median Absolute Deviation (MAD)0.099
Skewness0.1302563495
Sum41782.184
Variance0.02408038003
MonotonicityNot monotonic
2024-08-10T10:42:51.996904image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.155 126
 
0.3%
1.156 121
 
0.3%
1.126 119
 
0.3%
1.146 117
 
0.3%
1.131 116
 
0.3%
1.113 115
 
0.3%
1.102 115
 
0.3%
1.136 113
 
0.3%
1.106 112
 
0.3%
1.158 112
 
0.3%
Other values (1069) 35146
96.8%
ValueCountFrequency (%)
0.44 1
< 0.1%
0.443 1
< 0.1%
0.451 1
< 0.1%
0.507 1
< 0.1%
0.537 1
< 0.1%
ValueCountFrequency (%)
1.949 1
< 0.1%
1.942 1
< 0.1%
1.915 1
< 0.1%
1.86 1
< 0.1%
1.852 1
< 0.1%

CWWUCQG
Real number (ℝ)

Distinct1080
Distinct (%)3.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.541709848
Minimum0.008
Maximum1.389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:52.637022image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.008
5-th percentile0.295
Q10.439
median0.535
Q30.639
95-th percentile0.80845
Maximum1.389
Range1.381
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1578679589
Coefficient of variation (CV)0.2914253073
Kurtosis0.6894717389
Mean0.541709848
Median Absolute Deviation (MAD)0.1
Skewness0.3102274899
Sum19670.568
Variance0.02492229244
MonotonicityNot monotonic
2024-08-10T10:42:52.941997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.511 121
 
0.3%
0.539 117
 
0.3%
0.517 116
 
0.3%
0.526 114
 
0.3%
0.471 111
 
0.3%
0.498 111
 
0.3%
0.564 111
 
0.3%
0.518 110
 
0.3%
0.541 109
 
0.3%
0.529 109
 
0.3%
Other values (1070) 35183
96.9%
ValueCountFrequency (%)
0.008 1
 
< 0.1%
0.009 3
< 0.1%
0.01 2
< 0.1%
0.012 2
< 0.1%
0.014 2
< 0.1%
ValueCountFrequency (%)
1.389 1
< 0.1%
1.375 1
< 0.1%
1.35 1
< 0.1%
1.318 1
< 0.1%
1.314 1
< 0.1%

TXEIVQY
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.02303394399
Minimum0
Maximum8.761446
Zeros35764
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:53.261863image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8.761446
Range8.761446
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1927464893
Coefficient of variation (CV)8.367932534
Kurtosis185.4474321
Mean0.02303394399
Median Absolute Deviation (MAD)0
Skewness10.40395188
Sum836.408574
Variance0.03715120912
MonotonicityNot monotonic
2024-08-10T10:42:53.537591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0 35764
98.5%
1.464653 52
 
0.1%
1.461121 45
 
0.1%
1.462002 43
 
0.1%
1.463768 35
 
0.1%
1.465538 33
 
0.1%
1.458484 33
 
0.1%
1.457607 31
 
0.1%
1.460241 30
 
0.1%
1.466425 29
 
0.1%
Other values (33) 217
 
0.6%
ValueCountFrequency (%)
0 35764
98.5%
1.447164 1
 
< 0.1%
1.448894 2
 
< 0.1%
1.450628 2
 
< 0.1%
1.451497 1
 
< 0.1%
ValueCountFrequency (%)
8.761446 1
 
< 0.1%
2.941748 1
 
< 0.1%
2.938182 3
< 0.1%
2.934625 1
 
< 0.1%
2.931076 1
 
< 0.1%

MDVCOCJ
Real number (ℝ)

Distinct417
Distinct (%)1.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.227414833
Minimum-10.53869724
Maximum23.90563488
Zeros0
Zeros (%)0.0%
Negative2531
Negative (%)7.0%
Memory size567.4 KiB
2024-08-10T10:42:53.811696image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-10.53869724
5-th percentile-0.6734132767
Q13.299713135
median6.363630295
Q39.326577187
95-th percentile13.2997036
Maximum23.90563488
Range34.44433212
Interquartile range (IQR)6.026864052

Descriptive statistics

Standard deviation4.30761364
Coefficient of variation (CV)0.6917177923
Kurtosis-0.2312537417
Mean6.227414833
Median Absolute Deviation (MAD)3.06391716
Skewness0.03087225248
Sum226136.1148
Variance18.55553527
MonotonicityNot monotonic
2024-08-10T10:42:54.136457image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.084276199 522
 
1.4%
6.565690041 521
 
1.4%
6.767749786 502
 
1.4%
6.464719772 487
 
1.3%
4.882216454 485
 
1.3%
5.185246468 482
 
1.3%
6.6665411 478
 
1.3%
8.249282837 477
 
1.3%
3.400564194 474
 
1.3%
8.148193359 469
 
1.3%
Other values (407) 31416
86.5%
ValueCountFrequency (%)
-10.53869724 1
< 0.1%
-9.562373161 1
< 0.1%
-8.687019348 1
< 0.1%
-8.383750916 2
< 0.1%
-8.181929588 2
< 0.1%
ValueCountFrequency (%)
23.90563488 1
< 0.1%
22.42434025 1
< 0.1%
22.22204208 1
< 0.1%
21.51525021 1
< 0.1%
21.41416073 1
< 0.1%

MYUPDRP
Real number (ℝ)

Distinct389
Distinct (%)1.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.312489208
Minimum-9.292960167
Maximum26.56567097
Zeros10
Zeros (%)< 0.1%
Negative2422
Negative (%)6.7%
Memory size567.4 KiB
2024-08-10T10:42:54.441299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-9.292960167
5-th percentile-0.6734132767
Q13.198623657
median6.161689758
Q39.326577187
95-th percentile12.99667358
Maximum26.56567097
Range35.85863113
Interquartile range (IQR)6.127953529

Descriptive statistics

Standard deviation4.199501107
Coefficient of variation (CV)0.6652686396
Kurtosis-0.2164860783
Mean6.312489208
Median Absolute Deviation (MAD)3.064036369
Skewness0.03061527203
Sum229225.4206
Variance17.63580955
MonotonicityNot monotonic
2024-08-10T10:42:54.728906image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.060600281 582
 
1.6%
7.744073868 563
 
1.6%
6.161689758 560
 
1.5%
7.6431036 544
 
1.5%
5.858540535 533
 
1.5%
5.959391594 531
 
1.5%
4.276037216 526
 
1.4%
7.542014122 525
 
1.4%
4.377126694 513
 
1.4%
5.757570267 501
 
1.4%
Other values (379) 30935
85.2%
ValueCountFrequency (%)
-9.292960167 1
< 0.1%
-8.383750916 1
< 0.1%
-8.282780647 1
< 0.1%
-7.979869843 1
< 0.1%
-7.912397385 2
< 0.1%
ValueCountFrequency (%)
26.56567097 1
< 0.1%
23.40054512 1
< 0.1%
23.19860458 1
< 0.1%
21.71719074 1
< 0.1%
21.61622047 2
< 0.1%

OLSNQUS
Real number (ℝ)

Distinct352
Distinct (%)1.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.902818755
Minimum-8.215427399
Maximum20.80821991
Zeros217
Zeros (%)0.6%
Negative2288
Negative (%)6.3%
Memory size567.4 KiB
2024-08-10T10:42:55.053241image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-8.215427399
5-th percentile-0.9764432907
Q13.265976906
median5.656599998
Q38.720636368
95-th percentile12.39061356
Maximum20.80821991
Range29.02364731
Interquartile range (IQR)5.454659462

Descriptive statistics

Standard deviation4.088428192
Coefficient of variation (CV)0.6926230268
Kurtosis-0.2746511227
Mean5.902818755
Median Absolute Deviation (MAD)2.962946892
Skewness-0.003802876291
Sum214349.0574
Variance16.71524508
MonotonicityNot monotonic
2024-08-10T10:42:55.325884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.353569984 623
 
1.7%
5.252599716 591
 
1.6%
6.936073303 589
 
1.6%
6.834983826 586
 
1.6%
3.670096397 586
 
1.6%
5.151510239 583
 
1.6%
3.56900692 573
 
1.6%
7.037043571 553
 
1.5%
3.771066666 547
 
1.5%
5.454540253 540
 
1.5%
Other values (342) 30542
84.1%
ValueCountFrequency (%)
-8.215427399 1
< 0.1%
-8.11445713 2
< 0.1%
-8.013367653 1
< 0.1%
-7.912397385 2
< 0.1%
-7.710456848 1
< 0.1%
ValueCountFrequency (%)
20.80821991 1
< 0.1%
20.40410042 1
< 0.1%
20.20204067 1
< 0.1%
19.99998093 1
< 0.1%
19.22535896 1
< 0.1%

ESUYYIB
Real number (ℝ)

Distinct326
Distinct (%)0.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.335593716
Minimum-8.316516876
Maximum21.88551426
Zeros134
Zeros (%)0.4%
Negative2095
Negative (%)5.8%
Memory size567.4 KiB
2024-08-10T10:42:55.611527image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-8.316516876
5-th percentile-0.303030014
Q13.265976906
median6.329894066
Q39.393930435
95-th percentile12.96293736
Maximum21.88551426
Range30.20203114
Interquartile range (IQR)6.127953529

Descriptive statistics

Standard deviation3.964240345
Coefficient of variation (CV)0.6257093687
Kurtosis-0.3141592665
Mean6.335593716
Median Absolute Deviation (MAD)3.06391716
Skewness0.02097792402
Sum230064.4146
Variance15.71520151
MonotonicityNot monotonic
2024-08-10T10:42:55.890547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.12783432 681
 
1.9%
6.228923798 657
 
1.8%
4.646420479 655
 
1.8%
4.545450211 648
 
1.8%
7.811427116 638
 
1.8%
7.912397385 636
 
1.8%
6.329894066 631
 
1.7%
6.430983543 581
 
1.6%
7.710456848 570
 
1.6%
8.013367653 570
 
1.6%
Other values (316) 30046
82.7%
ValueCountFrequency (%)
-8.316516876 1
< 0.1%
-8.215427399 1
< 0.1%
-7.6431036 1
< 0.1%
-7.340192795 2
< 0.1%
-7.037043571 1
< 0.1%
ValueCountFrequency (%)
21.88551426 1
 
< 0.1%
20.10095119 1
 
< 0.1%
19.89901066 3
< 0.1%
19.69695091 2
< 0.1%
19.59586143 1
 
< 0.1%

NYRKOCF
Real number (ℝ)

Distinct184
Distinct (%)0.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.733239198
Minimum1.567
Maximum1.923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:56.211299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.567
5-th percentile1.663
Q11.704
median1.732
Q31.763
95-th percentile1.805
Maximum1.923
Range0.356
Interquartile range (IQR)0.059

Descriptive statistics

Standard deviation0.04293623117
Coefficient of variation (CV)0.02477224795
Kurtosis-0.08699658643
Mean1.733239198
Median Absolute Deviation (MAD)0.029
Skewness0.0917341695
Sum62939.115
Variance0.001843519947
MonotonicityNot monotonic
2024-08-10T10:42:56.511764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.736 578
 
1.6%
1.739 575
 
1.6%
1.731 566
 
1.6%
1.734 565
 
1.6%
1.724 561
 
1.5%
1.732 560
 
1.5%
1.744 555
 
1.5%
1.737 546
 
1.5%
1.729 540
 
1.5%
1.715 538
 
1.5%
Other values (174) 30729
84.6%
ValueCountFrequency (%)
1.567 1
< 0.1%
1.577 1
< 0.1%
1.584 1
< 0.1%
1.586 1
< 0.1%
1.588 1
< 0.1%
ValueCountFrequency (%)
1.923 1
< 0.1%
1.904 1
< 0.1%
1.896 2
< 0.1%
1.891 1
< 0.1%
1.889 2
< 0.1%

DNXCPJX
Real number (ℝ)

Distinct174
Distinct (%)0.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.668130917
Minimum1.517
Maximum1.859
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:56.808656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.517
5-th percentile1.603
Q11.64
median1.668
Q31.695
95-th percentile1.734
Maximum1.859
Range0.342
Interquartile range (IQR)0.055

Descriptive statistics

Standard deviation0.04029520857
Coefficient of variation (CV)0.02415590297
Kurtosis-0.08315380296
Mean1.668130917
Median Absolute Deviation (MAD)0.027
Skewness0.0840816967
Sum60574.838
Variance0.001623703834
MonotonicityNot monotonic
2024-08-10T10:42:57.142650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.67 637
 
1.8%
1.662 614
 
1.7%
1.675 597
 
1.6%
1.667 595
 
1.6%
1.673 594
 
1.6%
1.655 590
 
1.6%
1.677 585
 
1.6%
1.668 585
 
1.6%
1.657 583
 
1.6%
1.672 582
 
1.6%
Other values (164) 30351
83.6%
ValueCountFrequency (%)
1.517 1
< 0.1%
1.522 1
< 0.1%
1.529 1
< 0.1%
1.53 1
< 0.1%
1.534 1
< 0.1%
ValueCountFrequency (%)
1.859 1
< 0.1%
1.833 1
< 0.1%
1.823 1
< 0.1%
1.818 1
< 0.1%
1.815 2
< 0.1%

JKCFMAY
Real number (ℝ)

Distinct162
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.601099496
Minimum1.458
Maximum1.786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:57.471777image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.458
5-th percentile1.54
Q11.574
median1.601
Q31.626
95-th percentile1.663
Maximum1.786
Range0.328
Interquartile range (IQR)0.052

Descriptive statistics

Standard deviation0.03791157686
Coefficient of variation (CV)0.02367846405
Kurtosis-0.08079241303
Mean1.601099496
Median Absolute Deviation (MAD)0.025
Skewness0.08870503083
Sum58140.726
Variance0.00143728766
MonotonicityNot monotonic
2024-08-10T10:42:57.764322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.601 669
 
1.8%
1.606 654
 
1.8%
1.589 645
 
1.8%
1.603 644
 
1.8%
1.608 638
 
1.8%
1.599 636
 
1.8%
1.594 628
 
1.7%
1.598 623
 
1.7%
1.604 618
 
1.7%
1.616 616
 
1.7%
Other values (152) 29942
82.5%
ValueCountFrequency (%)
1.458 2
< 0.1%
1.47 1
< 0.1%
1.473 1
< 0.1%
1.475 1
< 0.1%
1.478 1
< 0.1%
ValueCountFrequency (%)
1.786 1
< 0.1%
1.758 1
< 0.1%
1.746 1
< 0.1%
1.741 2
< 0.1%
1.737 1
< 0.1%

RTVQHPO
Real number (ℝ)

Distinct154
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.531573899
Minimum1.401
Maximum1.724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:58.132825image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.401
5-th percentile1.473
Q11.507
median1.53
Q31.556
95-th percentile1.591
Maximum1.724
Range0.323
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.03571357684
Coefficient of variation (CV)0.02331821982
Kurtosis-0.05667219366
Mean1.531573899
Median Absolute Deviation (MAD)0.024
Skewness0.09470791516
Sum55616.043
Variance0.001275459571
MonotonicityNot monotonic
2024-08-10T10:42:58.453358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.532 705
 
1.9%
1.534 698
 
1.9%
1.54 688
 
1.9%
1.529 685
 
1.9%
1.524 684
 
1.9%
1.535 680
 
1.9%
1.53 667
 
1.8%
1.527 663
 
1.8%
1.517 651
 
1.8%
1.539 646
 
1.8%
Other values (144) 29546
81.4%
ValueCountFrequency (%)
1.401 1
< 0.1%
1.402 1
< 0.1%
1.411 1
< 0.1%
1.414 1
< 0.1%
1.416 2
< 0.1%
ValueCountFrequency (%)
1.724 1
< 0.1%
1.722 1
< 0.1%
1.682 1
< 0.1%
1.667 1
< 0.1%
1.665 2
< 0.1%

XNHNHIK
Real number (ℝ)

Distinct148
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.459185911
Minimum1.332
Maximum1.724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:58.743725image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.332
5-th percentile1.404
Q11.436
median1.46
Q31.481
95-th percentile1.515
Maximum1.724
Range0.392
Interquartile range (IQR)0.045

Descriptive statistics

Standard deviation0.0338064811
Coefficient of variation (CV)0.02316804243
Kurtosis0.04386266089
Mean1.459185911
Median Absolute Deviation (MAD)0.023
Skewness0.1013722645
Sum52987.418
Variance0.001142878165
MonotonicityNot monotonic
2024-08-10T10:42:59.076153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.463 743
 
2.0%
1.455 737
 
2.0%
1.465 733
 
2.0%
1.46 725
 
2.0%
1.47 723
 
2.0%
1.446 715
 
2.0%
1.451 713
 
2.0%
1.461 710
 
2.0%
1.458 704
 
1.9%
1.448 700
 
1.9%
Other values (138) 29110
80.2%
ValueCountFrequency (%)
1.332 1
 
< 0.1%
1.337 1
 
< 0.1%
1.34 1
 
< 0.1%
1.348 2
< 0.1%
1.35 3
< 0.1%
ValueCountFrequency (%)
1.724 1
< 0.1%
1.646 1
< 0.1%
1.604 1
< 0.1%
1.594 1
< 0.1%
1.591 1
< 0.1%

MRBOALK
Real number (ℝ)

Distinct162
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.125057197
Minimum0.99
Maximum1.419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:42:59.424668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.99
5-th percentile1.071
Q11.103
median1.125
Q31.146
95-th percentile1.18
Maximum1.419
Range0.429
Interquartile range (IQR)0.043

Descriptive statistics

Standard deviation0.03338573907
Coefficient of variation (CV)0.02967470379
Kurtosis0.4164166543
Mean1.125057197
Median Absolute Deviation (MAD)0.022
Skewness0.1018127537
Sum40854.202
Variance0.001114607573
MonotonicityNot monotonic
2024-08-10T10:42:59.714944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.131 808
 
2.2%
1.13 784
 
2.2%
1.136 779
 
2.1%
1.123 771
 
2.1%
1.12 763
 
2.1%
1.121 760
 
2.1%
1.125 752
 
2.1%
1.128 749
 
2.1%
1.114 732
 
2.0%
1.113 730
 
2.0%
Other values (152) 28685
79.0%
ValueCountFrequency (%)
0.99 2
< 0.1%
0.992 2
< 0.1%
0.993 1
 
< 0.1%
0.997 2
< 0.1%
1 3
< 0.1%
ValueCountFrequency (%)
1.419 1
< 0.1%
1.285 1
< 0.1%
1.281 1
< 0.1%
1.279 1
< 0.1%
1.278 1
< 0.1%

BFVUEAT
Real number (ℝ)

Distinct109
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean10.42060995
Minimum9.212
Maximum11.449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:00.031287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.212
5-th percentile10.034
Q110.261
median10.418
Q310.593
95-th percentile10.82
Maximum11.449
Range2.237
Interquartile range (IQR)0.332

Descriptive statistics

Standard deviation0.242773282
Coefficient of variation (CV)0.02329741572
Kurtosis0.05735657138
Mean10.42060995
Median Absolute Deviation (MAD)0.157
Skewness0.0326711213
Sum378403.609
Variance0.05893886647
MonotonicityNot monotonic
2024-08-10T10:43:00.522706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.331 1105
 
3.0%
10.383 1063
 
2.9%
10.505 1060
 
2.9%
10.366 1055
 
2.9%
10.418 1041
 
2.9%
10.296 1021
 
2.8%
10.401 981
 
2.7%
10.313 978
 
2.7%
10.348 974
 
2.7%
10.488 966
 
2.7%
Other values (99) 26069
71.8%
ValueCountFrequency (%)
9.212 1
 
< 0.1%
9.422 1
 
< 0.1%
9.457 1
 
< 0.1%
9.509 1
 
< 0.1%
9.527 3
< 0.1%
ValueCountFrequency (%)
11.449 1
 
< 0.1%
11.362 2
 
< 0.1%
11.327 4
< 0.1%
11.31 1
 
< 0.1%
11.275 5
< 0.1%

WTFITDY
Real number (ℝ)

Distinct103
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.361798227
Minimum8.216
Maximum10.366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:01.016323image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum8.216
5-th percentile8.985
Q19.212
median9.369
Q39.509
95-th percentile9.736
Maximum10.366
Range2.15
Interquartile range (IQR)0.297

Descriptive statistics

Standard deviation0.226188943
Coefficient of variation (CV)0.02416084363
Kurtosis0.0538614918
Mean9.361798227
Median Absolute Deviation (MAD)0.157
Skewness0.02765203074
Sum339954.979
Variance0.05116143794
MonotonicityNot monotonic
2024-08-10T10:43:01.457647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.387 1176
 
3.2%
9.422 1141
 
3.1%
9.369 1126
 
3.1%
9.474 1109
 
3.1%
9.334 1088
 
3.0%
9.264 1070
 
2.9%
9.457 1059
 
2.9%
9.247 1056
 
2.9%
9.282 1046
 
2.9%
9.352 1045
 
2.9%
Other values (93) 25397
69.9%
ValueCountFrequency (%)
8.216 1
 
< 0.1%
8.39 1
 
< 0.1%
8.46 2
< 0.1%
8.495 1
 
< 0.1%
8.53 3
< 0.1%
ValueCountFrequency (%)
10.366 1
 
< 0.1%
10.313 1
 
< 0.1%
10.226 3
< 0.1%
10.208 2
< 0.1%
10.191 1
 
< 0.1%

QVSCEFJ
Real number (ℝ)

Distinct101
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean8.303566299
Minimum7.184
Maximum9.264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:02.429035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.184
5-th percentile7.953
Q18.146
median8.303
Q38.443
95-th percentile8.653
Maximum9.264
Range2.08
Interquartile range (IQR)0.297

Descriptive statistics

Standard deviation0.2188583265
Coefficient of variation (CV)0.02635714808
Kurtosis0.06388398086
Mean8.303566299
Median Absolute Deviation (MAD)0.14
Skewness0.02085588437
Sum301527.403
Variance0.04789896708
MonotonicityNot monotonic
2024-08-10T10:43:02.922409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.338 1255
 
3.5%
8.355 1247
 
3.4%
8.32 1210
 
3.3%
8.303 1188
 
3.3%
8.268 1180
 
3.2%
8.373 1161
 
3.2%
8.286 1156
 
3.2%
8.251 1118
 
3.1%
8.408 1051
 
2.9%
8.39 1036
 
2.9%
Other values (91) 24711
68.0%
ValueCountFrequency (%)
7.184 1
 
< 0.1%
7.429 1
 
< 0.1%
7.446 3
< 0.1%
7.464 1
 
< 0.1%
7.499 2
< 0.1%
ValueCountFrequency (%)
9.264 2
< 0.1%
9.177 1
< 0.1%
9.142 1
< 0.1%
9.125 1
< 0.1%
9.107 1
< 0.1%

MNWQYTP
Real number (ℝ)

Distinct154
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.923639248
Minimum0.577
Maximum3.479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:03.375781image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.577
5-th percentile1.363
Q11.696
median1.923
Q32.15
95-th percentile2.482
Maximum3.479
Range2.902
Interquartile range (IQR)0.454

Descriptive statistics

Standard deviation0.3396101134
Coefficient of variation (CV)0.1765456355
Kurtosis0.2122007503
Mean1.923639248
Median Absolute Deviation (MAD)0.227
Skewness0.03432141891
Sum69853.112
Variance0.1153350291
MonotonicityNot monotonic
2024-08-10T10:43:03.831478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.888 842
 
2.3%
1.94 834
 
2.3%
1.905 796
 
2.2%
1.87 789
 
2.2%
1.975 785
 
2.2%
1.958 761
 
2.1%
1.923 758
 
2.1%
1.835 754
 
2.1%
1.818 736
 
2.0%
1.993 730
 
2.0%
Other values (144) 28528
78.6%
ValueCountFrequency (%)
0.577 1
 
< 0.1%
0.612 1
 
< 0.1%
0.664 2
< 0.1%
0.699 4
< 0.1%
0.717 2
< 0.1%
ValueCountFrequency (%)
3.479 1
< 0.1%
3.391 1
< 0.1%
3.374 2
< 0.1%
3.356 1
< 0.1%
3.304 1
< 0.1%

SYJXQKZ
Real number (ℝ)

Distinct36209
Distinct (%)99.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.02296425006
Minimum-0.2702009302
Maximum0.2144349743
Zeros28
Zeros (%)0.1%
Negative25095
Negative (%)69.1%
Memory size567.4 KiB
2024-08-10T10:43:04.312003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.2702009302
5-th percentile-0.09857414874
Q1-0.05390567534
median-0.02278021326
Q30.007680342995
95-th percentile0.05264284229
Maximum0.2144349743
Range0.4846359045
Interquartile range (IQR)0.06158601833

Descriptive statistics

Standard deviation0.04605809812
Coefficient of variation (CV)-2.005643468
Kurtosis0.2184350573
Mean-0.02296425006
Median Absolute Deviation (MAD)0.03078059263
Skewness-0.005327947188
Sum-833.9008124
Variance0.002121348403
MonotonicityNot monotonic
2024-08-10T10:43:04.788910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
0.1%
-0.008755849107 2
 
< 0.1%
-0.03382674182 2
 
< 0.1%
-0.02024818899 2
 
< 0.1%
-0.05884492432 2
 
< 0.1%
-0.08114956508 2
 
< 0.1%
-0.02565243618 2
 
< 0.1%
0.03205139875 2
 
< 0.1%
-0.03585811584 2
 
< 0.1%
-0.03781477403 2
 
< 0.1%
Other values (36199) 36267
99.9%
ValueCountFrequency (%)
-0.2702009302 1
< 0.1%
-0.265162948 1
< 0.1%
-0.2469864542 1
< 0.1%
-0.2224206102 1
< 0.1%
-0.2176236879 1
< 0.1%
ValueCountFrequency (%)
0.2144349743 1
< 0.1%
0.1846766765 1
< 0.1%
0.1698410066 1
< 0.1%
0.1691816741 1
< 0.1%
0.1671076697 1
< 0.1%

TFWEIKV
Real number (ℝ)

Distinct36181
Distinct (%)99.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.02291651926
Minimum-0.2357474188
Maximum0.1790325449
Zeros41
Zeros (%)0.1%
Negative25398
Negative (%)69.9%
Memory size567.4 KiB
2024-08-10T10:43:05.259933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.2357474188
5-th percentile-0.0957785841
Q1-0.05256561567
median-0.02285659249
Q30.006488212146
95-th percentile0.0499444378
Maximum0.1790325449
Range0.4147799637
Interquartile range (IQR)0.05905382782

Descriptive statistics

Standard deviation0.04430559029
Coefficient of variation (CV)-1.933347285
Kurtosis0.1368735078
Mean-0.02291651926
Median Absolute Deviation (MAD)0.02951835986
Skewness-0.003785635288
Sum-832.1675639
Variance0.001962985331
MonotonicityNot monotonic
2024-08-10T10:43:05.539003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
0.1%
-0.02043390092 2
 
< 0.1%
-0.1131973925 2
 
< 0.1%
-0.04929615719 2
 
< 0.1%
-0.01725236269 2
 
< 0.1%
0.0282065124 2
 
< 0.1%
-0.003526635749 2
 
< 0.1%
-0.02134524264 2
 
< 0.1%
-0.05874604304 2
 
< 0.1%
0.02376841366 2
 
< 0.1%
Other values (36171) 36254
99.8%
ValueCountFrequency (%)
-0.2357474188 1
< 0.1%
-0.226898809 1
< 0.1%
-0.2194515981 1
< 0.1%
-0.2014343134 1
< 0.1%
-0.1937979722 1
< 0.1%
ValueCountFrequency (%)
0.1790325449 1
< 0.1%
0.1551387311 1
< 0.1%
0.1518510124 1
< 0.1%
0.151300056 1
< 0.1%
0.1498557865 1
< 0.1%

NFZEWMH
Real number (ℝ)

Distinct36108
Distinct (%)99.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.02252299839
Minimum-0.2110914367
Maximum0.158579739
Zeros31
Zeros (%)0.1%
Negative25408
Negative (%)70.0%
Memory size567.4 KiB
2024-08-10T10:43:05.831106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.2110914367
5-th percentile-0.09428017452
Q1-0.05169819473
median-0.02249264321
Q30.006432405252
95-th percentile0.04886321397
Maximum0.158579739
Range0.3696711757
Interquartile range (IQR)0.05813059999

Descriptive statistics

Standard deviation0.04345530699
Coefficient of variation (CV)-1.929374865
Kurtosis0.09728972025
Mean-0.02252299839
Median Absolute Deviation (MAD)0.02908403103
Skewness-0.005867689893
Sum-817.8776405
Variance0.001888363705
MonotonicityNot monotonic
2024-08-10T10:43:06.220582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
0.1%
0.001808379897 2
 
< 0.1%
-0.08454994195 2
 
< 0.1%
-0.01821638248 2
 
< 0.1%
0.0222715607 2
 
< 0.1%
-0.00814048002 2
 
< 0.1%
-0.02717615734 2
 
< 0.1%
-0.001878409288 2
 
< 0.1%
-0.05437762192 2
 
< 0.1%
-0.03412409524 2
 
< 0.1%
Other values (36098) 36264
99.9%
ValueCountFrequency (%)
-0.2110914367 1
< 0.1%
-0.1978801983 1
< 0.1%
-0.1856731311 1
< 0.1%
-0.1853950411 1
< 0.1%
-0.1844214442 1
< 0.1%
ValueCountFrequency (%)
0.158579739 1
< 0.1%
0.156492074 1
< 0.1%
0.1502063639 1
< 0.1%
0.1469972762 1
< 0.1%
0.1412948576 1
< 0.1%

ZPBDTHO
Real number (ℝ)

Distinct36080
Distinct (%)99.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.02006644457
Minimum-0.2070548707
Maximum0.1873313998
Zeros41
Zeros (%)0.1%
Negative24519
Negative (%)67.5%
Memory size567.4 KiB
2024-08-10T10:43:06.561600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.2070548707
5-th percentile-0.09517204668
Q1-0.05015889784
median-0.02025311408
Q30.01001939834
95-th percentile0.05553288058
Maximum0.1873313998
Range0.3943862705
Interquartile range (IQR)0.06017829618

Descriptive statistics

Standard deviation0.04564306863
Coefficient of variation (CV)-2.274596702
Kurtosis0.1659971782
Mean-0.02006644457
Median Absolute Deviation (MAD)0.030078607
Skewness0.02335651002
Sum-728.6728016
Variance0.002083289714
MonotonicityNot monotonic
2024-08-10T10:43:06.864563image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
0.1%
-0.05829543661 3
 
< 0.1%
0.006615301841 3
 
< 0.1%
0.007379003182 2
 
< 0.1%
-0.03877655063 2
 
< 0.1%
-0.08433167537 2
 
< 0.1%
0.0229962828 2
 
< 0.1%
0.01004879757 2
 
< 0.1%
0.007142063212 2
 
< 0.1%
-0.0458362547 2
 
< 0.1%
Other values (36070) 36252
99.8%
ValueCountFrequency (%)
-0.2070548707 1
< 0.1%
-0.2054921866 1
< 0.1%
-0.1883514802 1
< 0.1%
-0.1875417537 1
< 0.1%
-0.1862589616 1
< 0.1%
ValueCountFrequency (%)
0.1873313998 1
< 0.1%
0.1825385378 1
< 0.1%
0.1709204215 1
< 0.1%
0.1689392225 1
< 0.1%
0.1574739044 1
< 0.1%

NAWMDDT
Real number (ℝ)

Distinct1360
Distinct (%)3.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.626637127
Minimum4.564
Maximum6.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:07.194600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.564
5-th percentile5.194
Q15.439
median5.643
Q35.818
95-th percentile6.021
Maximum6.53
Range1.966
Interquartile range (IQR)0.379

Descriptive statistics

Standard deviation0.2544669014
Coefficient of variation (CV)0.04522539764
Kurtosis-0.5584405621
Mean5.626637127
Median Absolute Deviation (MAD)0.188
Skewness-0.144032201
Sum204320.074
Variance0.06475340393
MonotonicityNot monotonic
2024-08-10T10:43:07.498199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.794 69
 
0.2%
5.74 67
 
0.2%
5.663 67
 
0.2%
5.838 65
 
0.2%
5.837 65
 
0.2%
5.745 65
 
0.2%
5.725 65
 
0.2%
5.686 65
 
0.2%
5.783 64
 
0.2%
5.8 64
 
0.2%
Other values (1350) 35657
98.2%
ValueCountFrequency (%)
4.564 1
< 0.1%
4.762 1
< 0.1%
4.829 1
< 0.1%
4.844 1
< 0.1%
4.869 1
< 0.1%
ValueCountFrequency (%)
6.53 1
< 0.1%
6.488 1
< 0.1%
6.482 1
< 0.1%
6.421 1
< 0.1%
6.399 1
< 0.1%

FUTFIRO
Real number (ℝ)

Distinct1252
Distinct (%)3.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.348240245
Minimum4.318
Maximum6.172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:07.828331image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.318
5-th percentile4.95
Q15.174
median5.364
Q35.525
95-th percentile5.711
Maximum6.172
Range1.854
Interquartile range (IQR)0.351

Descriptive statistics

Standard deviation0.2349608516
Coefficient of variation (CV)0.0439323667
Kurtosis-0.5645710778
Mean5.348240245
Median Absolute Deviation (MAD)0.174
Skewness-0.1415877225
Sum194210.648
Variance0.05520660179
MonotonicityNot monotonic
2024-08-10T10:43:08.139551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.417 74
 
0.2%
5.47 74
 
0.2%
5.493 74
 
0.2%
5.398 73
 
0.2%
5.457 73
 
0.2%
5.458 72
 
0.2%
5.46 71
 
0.2%
5.353 70
 
0.2%
5.409 70
 
0.2%
5.381 69
 
0.2%
Other values (1242) 35593
98.0%
ValueCountFrequency (%)
4.318 1
< 0.1%
4.568 1
< 0.1%
4.616 1
< 0.1%
4.622 1
< 0.1%
4.651 1
< 0.1%
ValueCountFrequency (%)
6.172 1
< 0.1%
6.163 1
< 0.1%
6.139 1
< 0.1%
6.119 1
< 0.1%
6.098 1
< 0.1%

LGVRVXB
Real number (ℝ)

Distinct1171
Distinct (%)3.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.993369262
Minimum4.02
Maximum5.722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:08.455264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.02
5-th percentile4.629
Q14.833
median5.006
Q35.155
95-th percentile5.327
Maximum5.722
Range1.702
Interquartile range (IQR)0.322

Descriptive statistics

Standard deviation0.2151785514
Coefficient of variation (CV)0.04309285777
Kurtosis-0.5487290469
Mean4.993369262
Median Absolute Deviation (MAD)0.16
Skewness-0.1272205152
Sum181324.218
Variance0.04630180898
MonotonicityNot monotonic
2024-08-10T10:43:08.748450image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.061 86
 
0.2%
5.055 84
 
0.2%
5.153 77
 
0.2%
5.049 77
 
0.2%
5.084 77
 
0.2%
5.105 76
 
0.2%
5.073 76
 
0.2%
5.077 75
 
0.2%
5.133 75
 
0.2%
5.207 74
 
0.2%
Other values (1161) 35536
97.9%
ValueCountFrequency (%)
4.02 1
< 0.1%
4.292 1
< 0.1%
4.309 1
< 0.1%
4.341 1
< 0.1%
4.345 1
< 0.1%
ValueCountFrequency (%)
5.722 1
< 0.1%
5.721 1
< 0.1%
5.702 1
< 0.1%
5.695 1
< 0.1%
5.673 1
< 0.1%

SPKCFPP
Real number (ℝ)

Distinct1079
Distinct (%)3.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.570900669
Minimum3.668
Maximum5.255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:09.042856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.668
5-th percentile4.242
Q14.428
median4.581
Q34.716
95-th percentile4.875
Maximum5.255
Range1.587
Interquartile range (IQR)0.288

Descriptive statistics

Standard deviation0.1945781313
Coefficient of variation (CV)0.04256888201
Kurtosis-0.5078827245
Mean4.570900669
Median Absolute Deviation (MAD)0.143
Skewness-0.1118676886
Sum165983.116
Variance0.03786064917
MonotonicityNot monotonic
2024-08-10T10:43:09.346632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.619 101
 
0.3%
4.607 91
 
0.3%
4.594 87
 
0.2%
4.618 86
 
0.2%
4.673 85
 
0.2%
4.659 84
 
0.2%
4.668 83
 
0.2%
4.636 82
 
0.2%
4.682 80
 
0.2%
4.705 80
 
0.2%
Other values (1069) 35454
97.6%
ValueCountFrequency (%)
3.668 1
< 0.1%
3.951 1
< 0.1%
3.954 1
< 0.1%
3.962 1
< 0.1%
3.984 1
< 0.1%
ValueCountFrequency (%)
5.255 1
< 0.1%
5.216 1
< 0.1%
5.212 1
< 0.1%
5.199 2
< 0.1%
5.193 1
< 0.1%

ZCRFMLI
Real number (ℝ)

Distinct993
Distinct (%)2.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.094103462
Minimum3.282
Maximum4.731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:09.681440image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.282
5-th percentile3.799
Q13.968
median4.101
Q34.223
95-th percentile4.37
Maximum4.731
Range1.449
Interquartile range (IQR)0.255

Descriptive statistics

Standard deviation0.1747448973
Coefficient of variation (CV)0.0426820912
Kurtosis-0.4395319192
Mean4.094103462
Median Absolute Deviation (MAD)0.127
Skewness-0.09004460521
Sum148669.179
Variance0.03053577914
MonotonicityNot monotonic
2024-08-10T10:43:09.976609image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.073 99
 
0.3%
4.169 95
 
0.3%
4.064 92
 
0.3%
4.182 90
 
0.2%
4.074 90
 
0.2%
4.161 90
 
0.2%
4.101 90
 
0.2%
4.125 90
 
0.2%
4.088 89
 
0.2%
4.226 88
 
0.2%
Other values (983) 35400
97.5%
ValueCountFrequency (%)
3.282 1
< 0.1%
3.541 1
< 0.1%
3.544 1
< 0.1%
3.548 1
< 0.1%
3.549 2
< 0.1%
ValueCountFrequency (%)
4.731 1
< 0.1%
4.698 1
< 0.1%
4.692 1
< 0.1%
4.657 1
< 0.1%
4.646 1
< 0.1%

KEJOIIS
Real number (ℝ)

Distinct930
Distinct (%)2.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.570121417
Minimum2.865
Maximum4.133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:10.282308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.865
5-th percentile3.307
Q13.459
median3.573
Q33.683
95-th percentile3.8224
Maximum4.133
Range1.268
Interquartile range (IQR)0.224

Descriptive statistics

Standard deviation0.1573013986
Coefficient of variation (CV)0.0440605179
Kurtosis-0.3195815669
Mean3.570121417
Median Absolute Deviation (MAD)0.112
Skewness-0.05323433895
Sum129641.819
Variance0.02474373
MonotonicityNot monotonic
2024-08-10T10:43:10.568012image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.553 113
 
0.3%
3.559 107
 
0.3%
3.506 100
 
0.3%
3.651 100
 
0.3%
3.543 99
 
0.3%
3.565 99
 
0.3%
3.603 99
 
0.3%
3.613 98
 
0.3%
3.611 97
 
0.3%
3.65 97
 
0.3%
Other values (920) 35304
97.2%
ValueCountFrequency (%)
2.865 1
< 0.1%
3.02 1
< 0.1%
3.055 1
< 0.1%
3.056 1
< 0.1%
3.058 1
< 0.1%
ValueCountFrequency (%)
4.133 1
< 0.1%
4.131 1
< 0.1%
4.126 1
< 0.1%
4.092 1
< 0.1%
4.081 1
< 0.1%

AEXRRBM
Real number (ℝ)

Distinct874
Distinct (%)2.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.013994795
Minimum2.464
Maximum3.547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:10.877780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.464
5-th percentile2.797
Q12.915
median3.01
Q33.109
95-th percentile3.246
Maximum3.547
Range1.083
Interquartile range (IQR)0.194

Descriptive statistics

Standard deviation0.1389695887
Coefficient of variation (CV)0.04610810509
Kurtosis-0.1404651054
Mean3.013994795
Median Absolute Deviation (MAD)0.097
Skewness0.123352174
Sum109447.193
Variance0.0193125466
MonotonicityNot monotonic
2024-08-10T10:43:11.198865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.098 120
 
0.3%
3.004 118
 
0.3%
2.946 118
 
0.3%
2.955 117
 
0.3%
2.987 116
 
0.3%
3.014 114
 
0.3%
2.999 114
 
0.3%
3.065 113
 
0.3%
2.974 113
 
0.3%
3.016 112
 
0.3%
Other values (864) 35158
96.8%
ValueCountFrequency (%)
2.464 1
< 0.1%
2.488 1
< 0.1%
2.5 1
< 0.1%
2.507 1
< 0.1%
2.519 1
< 0.1%
ValueCountFrequency (%)
3.547 1
< 0.1%
3.54 1
< 0.1%
3.538 1
< 0.1%
3.526 1
< 0.1%
3.523 1
< 0.1%

PVYZFWG
Real number (ℝ)

Distinct975
Distinct (%)2.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.436140748
Minimum1.778
Maximum3.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:11.486408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.778
5-th percentile2.175
Q12.337
median2.443
Q32.538
95-th percentile2.678
Maximum3.02
Range1.242
Interquartile range (IQR)0.201

Descriptive statistics

Standard deviation0.1524103381
Coefficient of variation (CV)0.06256220547
Kurtosis0.07633737089
Mean2.436140748
Median Absolute Deviation (MAD)0.1
Skewness-0.1496839216
Sum88463.579
Variance0.02322891115
MonotonicityNot monotonic
2024-08-10T10:43:11.819628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.451 130
 
0.4%
2.464 123
 
0.3%
2.418 118
 
0.3%
2.455 118
 
0.3%
2.452 117
 
0.3%
2.495 115
 
0.3%
2.517 114
 
0.3%
2.423 113
 
0.3%
2.404 112
 
0.3%
2.459 112
 
0.3%
Other values (965) 35141
96.8%
ValueCountFrequency (%)
1.778 1
< 0.1%
1.813 1
< 0.1%
1.827 1
< 0.1%
1.832 1
< 0.1%
1.842 1
< 0.1%
ValueCountFrequency (%)
3.02 1
< 0.1%
2.999 1
< 0.1%
2.989 1
< 0.1%
2.966 1
< 0.1%
2.961 1
< 0.1%

BZFTTYE
Real number (ℝ)

Distinct1021
Distinct (%)2.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.779058574
Minimum1.076
Maximum2.516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:12.129267image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.076
5-th percentile1.544
Q11.683
median1.777
Q31.873
95-th percentile2.02
Maximum2.516
Range1.44
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.1466983242
Coefficient of variation (CV)0.08245840041
Kurtosis0.5655577528
Mean1.779058574
Median Absolute Deviation (MAD)0.095
Skewness0.09976094543
Sum64602.954
Variance0.02152039834
MonotonicityNot monotonic
2024-08-10T10:43:12.417102image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.814 125
 
0.3%
1.734 125
 
0.3%
1.763 119
 
0.3%
1.771 118
 
0.3%
1.772 118
 
0.3%
1.777 118
 
0.3%
1.754 118
 
0.3%
1.747 117
 
0.3%
1.833 116
 
0.3%
1.762 115
 
0.3%
Other values (1011) 35124
96.7%
ValueCountFrequency (%)
1.076 1
< 0.1%
1.114 1
< 0.1%
1.124 1
< 0.1%
1.168 1
< 0.1%
1.173 1
< 0.1%
ValueCountFrequency (%)
2.516 1
< 0.1%
2.498 1
< 0.1%
2.464 1
< 0.1%
2.457 2
< 0.1%
2.449 1
< 0.1%

AGTCLZR
Real number (ℝ)

Distinct1081
Distinct (%)3.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.147128329
Minimum0.448
Maximum1.916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:12.708215image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.448
5-th percentile0.898
Q11.048
median1.144
Q31.244
95-th percentile1.403
Maximum1.916
Range1.468
Interquartile range (IQR)0.196

Descriptive statistics

Standard deviation0.1545295756
Coefficient of variation (CV)0.1347099289
Kurtosis0.621709132
Mean1.147128329
Median Absolute Deviation (MAD)0.098
Skewness0.1275168259
Sum41655.671
Variance0.02387938973
MonotonicityNot monotonic
2024-08-10T10:43:13.030191image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.109 127
 
0.3%
1.128 118
 
0.3%
1.125 118
 
0.3%
1.163 117
 
0.3%
1.111 116
 
0.3%
1.146 116
 
0.3%
1.129 115
 
0.3%
1.178 113
 
0.3%
1.151 113
 
0.3%
1.158 112
 
0.3%
Other values (1071) 35148
96.8%
ValueCountFrequency (%)
0.448 1
< 0.1%
0.45 1
< 0.1%
0.459 1
< 0.1%
0.504 1
< 0.1%
0.533 2
< 0.1%
ValueCountFrequency (%)
1.916 1
< 0.1%
1.905 1
< 0.1%
1.879 1
< 0.1%
1.857 1
< 0.1%
1.854 1
< 0.1%

JGSHLSI
Real number (ℝ)

Distinct1074
Distinct (%)3.0%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.5407972627
Minimum0.008
Maximum1.362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:13.334541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.008
5-th percentile0.294
Q10.438
median0.534
Q30.637
95-th percentile0.8084
Maximum1.362
Range1.354
Interquartile range (IQR)0.199

Descriptive statistics

Standard deviation0.1574912897
Coefficient of variation (CV)0.2912205747
Kurtosis0.6818249984
Mean0.5407972627
Median Absolute Deviation (MAD)0.099
Skewness0.3038062481
Sum19637.971
Variance0.02480350632
MonotonicityNot monotonic
2024-08-10T10:43:13.641347image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.507 122
 
0.3%
0.503 120
 
0.3%
0.471 119
 
0.3%
0.53 118
 
0.3%
0.505 117
 
0.3%
0.512 113
 
0.3%
0.592 113
 
0.3%
0.551 113
 
0.3%
0.492 113
 
0.3%
0.605 111
 
0.3%
Other values (1064) 35154
96.8%
ValueCountFrequency (%)
0.008 1
 
< 0.1%
0.009 4
< 0.1%
0.01 1
 
< 0.1%
0.011 2
< 0.1%
0.012 1
 
< 0.1%
ValueCountFrequency (%)
1.362 1
< 0.1%
1.358 1
< 0.1%
1.348 1
< 0.1%
1.312 1
< 0.1%
1.304 1
< 0.1%

ALVJYOA
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.02387938402
Minimum0
Maximum2.931076
Zeros35729
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:14.007947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.931076
Range2.931076
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1881655632
Coefficient of variation (CV)7.879833207
Kurtosis65.01251032
Mean0.02387938402
Median Absolute Deviation (MAD)0
Skewness7.977164288
Sum867.132072
Variance0.03540627916
MonotonicityNot monotonic
2024-08-10T10:43:14.288702image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 35729
98.4%
1.461121 53
 
0.1%
1.465538 41
 
0.1%
1.458484 40
 
0.1%
1.457607 40
 
0.1%
1.462885 40
 
0.1%
1.462002 40
 
0.1%
1.464653 35
 
0.1%
1.460241 34
 
0.1%
1.466425 31
 
0.1%
Other values (29) 230
 
0.6%
ValueCountFrequency (%)
0 35729
98.4%
1.448894 1
 
< 0.1%
1.450628 2
 
< 0.1%
1.451497 3
 
< 0.1%
1.452367 4
 
< 0.1%
ValueCountFrequency (%)
2.931076 1
< 0.1%
2.929305 1
< 0.1%
2.927536 1
< 0.1%
2.920482 2
< 0.1%
2.915214 2
< 0.1%

PYGQGOY
Real number (ℝ)

ZEROS 

Distinct16854
Distinct (%)46.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.93638941 × 10-12
Minimum0
Maximum1.807128008 × 10-9
Zeros19432
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:15.061735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39.760234894 × 10-13
95-th percentile1.122414861 × 10-11
Maximum1.807128008 × 10-9
Range1.807128008 × 10-9
Interquartile range (IQR)9.760234894 × 10-13

Descriptive statistics

Standard deviation3.172539062 × 10-11
Coefficient of variation (CV)8.059515285
Kurtosis0
Mean3.93638941 × 10-12
Median Absolute Deviation (MAD)0
Skewness0
Sum1.429302995 × 10-7
Variance1.00650041 × 10-21
MonotonicityNot monotonic
2024-08-10T10:43:15.491400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19432
53.5%
4.880078707 × 10-132
 
< 0.1%
1.46406638 × 10-122
 
< 0.1%
4.880253909 × 10-132
 
< 0.1%
1.463874728 × 10-122
 
< 0.1%
4.880073272 × 10-132
 
< 0.1%
9.759953732 × 10-132
 
< 0.1%
4.879131478 × 10-132
 
< 0.1%
4.87990158 × 10-132
 
< 0.1%
4.880394859 × 10-132
 
< 0.1%
Other values (16844) 16860
46.4%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 19432
53.5%
4.816231687 × 10-131
 
< 0.1%
4.867551749 × 10-131
 
< 0.1%
4.868686919 × 10-131
 
< 0.1%
4.868720981 × 10-131
 
< 0.1%
ValueCountFrequency (%)
1.807128008 × 10-91
< 0.1%
1.592223365 × 10-91
< 0.1%
1.432207932 × 10-91
< 0.1%
1.359291567 × 10-91
< 0.1%
1.255796591 × 10-91
< 0.1%

KWGZVQN
Real number (ℝ)

ZEROS 

Distinct795
Distinct (%)2.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.368600178 × 10-14
Minimum0
Maximum1.200554285 × 10-10
Zeros35516
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:15.957505image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.200554285 × 10-10
Range1.200554285 × 10-10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.51770217 × 10-13
Coefficient of variation (CV)21.78661764
Kurtosis0
Mean4.368600178 × 10-14
Median Absolute Deviation (MAD)0
Skewness0
Sum1.586238725 × 10-9
Variance9.058665459 × 10-25
MonotonicityNot monotonic
2024-08-10T10:43:16.495121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35516
97.8%
4.880425905 × 10-131
 
< 0.1%
4.880108155 × 10-131
 
< 0.1%
4.876009556 × 10-131
 
< 0.1%
2.439674275 × 10-121
 
< 0.1%
4.880096333 × 10-131
 
< 0.1%
4.879666266 × 10-131
 
< 0.1%
1.464021179 × 10-121
 
< 0.1%
4.877345705 × 10-131
 
< 0.1%
4.87943464 × 10-131
 
< 0.1%
Other values (785) 785
 
2.2%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 35516
97.8%
4.869879453 × 10-131
 
< 0.1%
4.869960624 × 10-131
 
< 0.1%
4.870729446 × 10-131
 
< 0.1%
4.870807844 × 10-131
 
< 0.1%
ValueCountFrequency (%)
1.200554285 × 10-101
< 0.1%
4.29519671 × 10-111
< 0.1%
3.752305551 × 10-111
< 0.1%
3.709101024 × 10-111
< 0.1%
3.463358372 × 10-111
< 0.1%

OULTOYT
Real number (ℝ)

ZEROS 

Distinct16860
Distinct (%)46.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.990037706 × 10-12
Minimum0
Maximum9.084441771 × 10-10
Zeros19425
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:17.018185image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34.8801364 × 10-13
95-th percentile5.612230661 × 10-12
Maximum9.084441771 × 10-10
Range9.084441771 × 10-10
Interquartile range (IQR)4.8801364 × 10-13

Descriptive statistics

Standard deviation1.609510896 × 10-11
Coefficient of variation (CV)8.087841206
Kurtosis0
Mean1.990037706 × 10-12
Median Absolute Deviation (MAD)0
Skewness0
Sum7.225826909 × 10-8
Variance2.590525324 × 10-22
MonotonicityNot monotonic
2024-08-10T10:43:17.501264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19425
53.5%
2.440039353 × 10-132
 
< 0.1%
7.319721159 × 10-132
 
< 0.1%
7.319373641 × 10-132
 
< 0.1%
1.463830392 × 10-122
 
< 0.1%
2.44019743 × 10-132
 
< 0.1%
2.440036636 × 10-132
 
< 0.1%
2.439460032 × 10-132
 
< 0.1%
7.320331899 × 10-132
 
< 0.1%
2.440237594 × 10-132
 
< 0.1%
Other values (16850) 16867
46.4%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0 19425
53.5%
2.408115843 × 10-131
 
< 0.1%
2.433775875 × 10-131
 
< 0.1%
2.434343459 × 10-131
 
< 0.1%
2.43436049 × 10-131
 
< 0.1%
ValueCountFrequency (%)
9.084441771 × 10-101
< 0.1%
8.01967239 × 10-101
< 0.1%
7.326951312 × 10-101
< 0.1%
6.879400968 × 10-101
< 0.1%
6.408270484 × 10-101
< 0.1%

BQULMYJ
Real number (ℝ)

Distinct35537
Distinct (%)97.9%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.04987355 × 1012
Minimum2.04747901 × 1012
Maximum2.076312073 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:18.032087image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.04747901 × 1012
5-th percentile2.04896506 × 1012
Q12.049187813 × 1012
median2.049399195 × 1012
Q32.050129313 × 1012
95-th percentile2.052359458 × 1012
Maximum2.076312073 × 1012
Range2.883306355 × 1010
Interquartile range (IQR)941500096

Descriptive statistics

Standard deviation1098142407
Coefficient of variation (CV)0.0005357122672
Kurtosis10.34070841
Mean2.04987355 × 1012
Median Absolute Deviation (MAD)275595776
Skewness1.850116388
Sum7.44309086 × 1016
Variance1.205916746 × 1018
MonotonicityNot monotonic
2024-08-10T10:43:18.511359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.049378508 × 10123
 
< 0.1%
2.04923428 × 10123
 
< 0.1%
2.049095416 × 10123
 
< 0.1%
2.049365444 × 10123
 
< 0.1%
2.049170728 × 10123
 
< 0.1%
2.049019814 × 10123
 
< 0.1%
2.049306904 × 10123
 
< 0.1%
2.049239016 × 10123
 
< 0.1%
2.049106457 × 10123
 
< 0.1%
2.049452131 × 10123
 
< 0.1%
Other values (35527) 36280
99.9%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
2.04747901 × 10121
< 0.1%
2.047531335 × 10121
< 0.1%
2.047550508 × 10121
< 0.1%
2.047564856 × 10121
< 0.1%
2.04757297 × 10121
< 0.1%
ValueCountFrequency (%)
2.076312073 × 10121
< 0.1%
2.055004932 × 10121
< 0.1%
2.054697678 × 10121
< 0.1%
2.054429464 × 10121
< 0.1%
2.054420891 × 10121
< 0.1%

WTMETCB
Real number (ℝ)

SKEWED  ZEROS 

Distinct384
Distinct (%)1.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean8.068190581
Minimum0
Maximum3703
Zeros19432
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:19.031788image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile23
Maximum3703
Range3703
Interquartile range (IQR)2

Descriptive statistics

Standard deviation65.02273634
Coefficient of variation (CV)8.0591473
Kurtosis1022.727651
Mean8.068190581
Median Absolute Deviation (MAD)0
Skewness27.1417658
Sum292956
Variance4227.956241
MonotonicityNot monotonic
2024-08-10T10:43:19.505448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19432
53.5%
1 5670
 
15.6%
2 2624
 
7.2%
3 1500
 
4.1%
4 1042
 
2.9%
5 764
 
2.1%
6 570
 
1.6%
7 454
 
1.3%
8 364
 
1.0%
9 277
 
0.8%
Other values (374) 3613
 
9.9%
ValueCountFrequency (%)
0 19432
53.5%
1 5670
 
15.6%
2 2624
 
7.2%
3 1500
 
4.1%
4 1042
 
2.9%
ValueCountFrequency (%)
3703 1
< 0.1%
3263 1
< 0.1%
2935 1
< 0.1%
2786 1
< 0.1%
2574 1
< 0.1%

LNZGNNA
Real number (ℝ)

SKEWED  ZEROS 

Distinct46
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.08953456348
Minimum0
Maximum246
Zeros35516
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:20.053780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum246
Range246
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.950515102
Coefficient of variation (CV)21.78505178
Kurtosis7478.738324
Mean0.08953456348
Median Absolute Deviation (MAD)0
Skewness70.8426088
Sum3251
Variance3.804509161
MonotonicityNot monotonic
2024-08-10T10:43:20.548709image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 35516
97.8%
1 506
 
1.4%
2 100
 
0.3%
3 41
 
0.1%
4 26
 
0.1%
6 22
 
0.1%
5 17
 
< 0.1%
7 11
 
< 0.1%
8 7
 
< 0.1%
11 6
 
< 0.1%
Other values (36) 58
 
0.2%
ValueCountFrequency (%)
0 35516
97.8%
1 506
 
1.4%
2 100
 
0.3%
3 41
 
0.1%
4 26
 
0.1%
ValueCountFrequency (%)
246 1
< 0.1%
88 1
< 0.1%
77 1
< 0.1%
76 1
< 0.1%
71 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:20.821707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.999779699
Min length3

Characters and Unicode

Total characters181562
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFalse
2nd rowFalse
3rd rowFalse
4th rowFalse
5th rowFalse
ValueCountFrequency (%)
false 36310
> 99.9%
nan 4
 
< 0.1%
2024-08-10T10:43:21.399765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 36314
20.0%
F 36310
20.0%
l 36310
20.0%
s 36310
20.0%
e 36310
20.0%
n 8
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 181562
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36310
20.0%
l 36310
20.0%
s 36310
20.0%
e 36310
20.0%
n 8
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 181562
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36310
20.0%
l 36310
20.0%
s 36310
20.0%
e 36310
20.0%
n 8
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 181562
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36310
20.0%
l 36310
20.0%
s 36310
20.0%
e 36310
20.0%
n 8
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:21.639312image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.999779699
Min length3

Characters and Unicode

Total characters181562
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFalse
2nd rowFalse
3rd rowFalse
4th rowFalse
5th rowFalse
ValueCountFrequency (%)
false 36310
> 99.9%
nan 4
 
< 0.1%
2024-08-10T10:43:22.187442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 36314
20.0%
F 36310
20.0%
l 36310
20.0%
s 36310
20.0%
e 36310
20.0%
n 8
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 181562
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36310
20.0%
l 36310
20.0%
s 36310
20.0%
e 36310
20.0%
n 8
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 181562
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36310
20.0%
l 36310
20.0%
s 36310
20.0%
e 36310
20.0%
n 8
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 181562
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36310
20.0%
l 36310
20.0%
s 36310
20.0%
e 36310
20.0%
n 8
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:22.467148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.999669549
Min length3

Characters and Unicode

Total characters217872
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPRBS31
2nd rowPRBS31
3rd rowPRBS31
4th rowPRBS31
5th rowPRBS31
ValueCountFrequency (%)
prbs31 36310
> 99.9%
nan 4
 
< 0.1%
2024-08-10T10:43:23.034830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 36310
16.7%
R 36310
16.7%
B 36310
16.7%
S 36310
16.7%
3 36310
16.7%
1 36310
16.7%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 217872
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
P 36310
16.7%
R 36310
16.7%
B 36310
16.7%
S 36310
16.7%
3 36310
16.7%
1 36310
16.7%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 217872
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
P 36310
16.7%
R 36310
16.7%
B 36310
16.7%
S 36310
16.7%
3 36310
16.7%
1 36310
16.7%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 217872
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
P 36310
16.7%
R 36310
16.7%
B 36310
16.7%
S 36310
16.7%
3 36310
16.7%
1 36310
16.7%
n 8
 
< 0.1%
a 4
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:23.296471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.999669549
Min length3

Characters and Unicode

Total characters217872
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPRBS31
2nd rowPRBS31
3rd rowPRBS31
4th rowPRBS31
5th rowPRBS31
ValueCountFrequency (%)
prbs31 36310
> 99.9%
nan 4
 
< 0.1%
2024-08-10T10:43:23.815739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 36310
16.7%
R 36310
16.7%
B 36310
16.7%
S 36310
16.7%
3 36310
16.7%
1 36310
16.7%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 217872
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
P 36310
16.7%
R 36310
16.7%
B 36310
16.7%
S 36310
16.7%
3 36310
16.7%
1 36310
16.7%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 217872
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
P 36310
16.7%
R 36310
16.7%
B 36310
16.7%
S 36310
16.7%
3 36310
16.7%
1 36310
16.7%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 217872
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
P 36310
16.7%
R 36310
16.7%
B 36310
16.7%
S 36310
16.7%
3 36310
16.7%
1 36310
16.7%
n 8
 
< 0.1%
a 4
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:24.056025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.99988985
Min length3

Characters and Unicode

Total characters145252
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTrue
2nd rowTrue
3rd rowTrue
4th rowTrue
5th rowTrue
ValueCountFrequency (%)
true 36310
> 99.9%
nan 4
 
< 0.1%
2024-08-10T10:43:24.587336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 36310
25.0%
r 36310
25.0%
u 36310
25.0%
e 36310
25.0%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 145252
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 36310
25.0%
r 36310
25.0%
u 36310
25.0%
e 36310
25.0%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 145252
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 36310
25.0%
r 36310
25.0%
u 36310
25.0%
e 36310
25.0%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 145252
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 36310
25.0%
r 36310
25.0%
u 36310
25.0%
e 36310
25.0%
n 8
 
< 0.1%
a 4
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:24.828474image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.99988985
Min length3

Characters and Unicode

Total characters145252
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTrue
2nd rowTrue
3rd rowTrue
4th rowTrue
5th rowTrue
ValueCountFrequency (%)
true 36310
> 99.9%
nan 4
 
< 0.1%
2024-08-10T10:43:25.330413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 36310
25.0%
r 36310
25.0%
u 36310
25.0%
e 36310
25.0%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 145252
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 36310
25.0%
r 36310
25.0%
u 36310
25.0%
e 36310
25.0%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 145252
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 36310
25.0%
r 36310
25.0%
u 36310
25.0%
e 36310
25.0%
n 8
 
< 0.1%
a 4
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 145252
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 36310
25.0%
r 36310
25.0%
u 36310
25.0%
e 36310
25.0%
n 8
 
< 0.1%
a 4
 
< 0.1%

QNIBUZZ
Real number (ℝ)

ZEROS 

Distinct8065
Distinct (%)22.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.572932875 × 10-13
Minimum0
Maximum6.443804327 × 10-10
Zeros28247
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:25.641949image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile9.907203683 × 10-13
Maximum6.443804327 × 10-10
Range6.443804327 × 10-10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.88907325 × 10-12
Coefficient of variation (CV)13.68364148
Kurtosis0
Mean3.572932875 × 10-13
Median Absolute Deviation (MAD)0
Skewness0
Sum1.297367656 × 10-8
Variance2.390303725 × 10-23
MonotonicityNot monotonic
2024-08-10T10:43:25.966926image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28247
77.8%
4.939831479 × 10-131
 
< 0.1%
2.483480663 × 10-131
 
< 0.1%
2.468321125 × 10-131
 
< 0.1%
4.950738366 × 10-131
 
< 0.1%
2.222716739 × 10-121
 
< 0.1%
2.474793513 × 10-131
 
< 0.1%
4.963399709 × 10-131
 
< 0.1%
2.468442614 × 10-131
 
< 0.1%
7.409771721 × 10-131
 
< 0.1%
Other values (8055) 8055
 
22.2%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 28247
77.8%
2.460537127 × 10-131
 
< 0.1%
2.463452699 × 10-131
 
< 0.1%
2.463657369 × 10-131
 
< 0.1%
2.463767714 × 10-131
 
< 0.1%
ValueCountFrequency (%)
6.443804327 × 10-101
< 0.1%
2.277163632 × 10-101
< 0.1%
2.259445119 × 10-101
< 0.1%
1.97847419 × 10-101
< 0.1%
1.968995498 × 10-101
< 0.1%

ILHBFRB
Real number (ℝ)

ZEROS 

Distinct8054
Distinct (%)22.2%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean6.979161766 × 10-13
Minimum0
Maximum1.180499021 × 10-9
Zeros28258
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:26.287643image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.980861667 × 10-12
Maximum1.180499021 × 10-9
Range1.180499021 × 10-9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.145750345 × 10-12
Coefficient of variation (CV)13.10436791
Kurtosis0
Mean6.979161766 × 10-13
Median Absolute Deviation (MAD)0
Skewness0
Sum2.534203429 × 10-8
Variance8.364474938 × 10-23
MonotonicityNot monotonic
2024-08-10T10:43:26.630162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28258
77.8%
9.886449822 × 10-131
 
< 0.1%
5.447915817 × 10-121
 
< 0.1%
4.966961326 × 10-131
 
< 0.1%
4.93664225 × 10-131
 
< 0.1%
4.950738366 × 10-131
 
< 0.1%
3.951496424 × 10-121
 
< 0.1%
4.949587027 × 10-131
 
< 0.1%
9.926799418 × 10-131
 
< 0.1%
4.936885229 × 10-131
 
< 0.1%
Other values (8044) 8044
 
22.2%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 28258
77.8%
4.921074254 × 10-131
 
< 0.1%
4.926905397 × 10-131
 
< 0.1%
4.927314739 × 10-131
 
< 0.1%
4.927535428 × 10-131
 
< 0.1%
ValueCountFrequency (%)
1.180499021 × 10-91
< 0.1%
4.539492322 × 10-101
< 0.1%
3.928108961 × 10-101
< 0.1%
3.838091357 × 10-101
< 0.1%
3.278857505 × 10-101
< 0.1%

HVHDNTE
Real number (ℝ)

ZEROS 

Distinct328
Distinct (%)0.9%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.667039845 × 10-14
Minimum0
Maximum1.474949935 × 10-10
Zeros35984
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:26.948516image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.474949935 × 10-10
Range1.474949935 × 10-10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.848576457 × 10-13
Coefficient of variation (CV)59.07823072
Kurtosis0
Mean1.667039845 × 10-14
Median Absolute Deviation (MAD)0
Skewness0
Sum6.05318838 × 10-10
Variance9.699445822 × 10-25
MonotonicityNot monotonic
2024-08-10T10:43:27.277294image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35984
99.1%
4.941991466 × 10-131
 
< 0.1%
4.948390406 × 10-131
 
< 0.1%
3.952069889 × 10-121
 
< 0.1%
4.945133547 × 10-131
 
< 0.1%
4.960663289 × 10-131
 
< 0.1%
4.953823977 × 10-131
 
< 0.1%
4.950738366 × 10-131
 
< 0.1%
4.93937053 × 10-131
 
< 0.1%
4.950575548 × 10-131
 
< 0.1%
Other values (318) 318
 
0.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 35984
99.1%
4.928661409 × 10-131
 
< 0.1%
4.931005251 × 10-131
 
< 0.1%
4.932847601 × 10-131
 
< 0.1%
4.935873336 × 10-131
 
< 0.1%
ValueCountFrequency (%)
1.474949935 × 10-101
< 0.1%
1.082618448 × 10-101
< 0.1%
2.376846341 × 10-111
< 0.1%
1.681102079 × 10-111
< 0.1%
1.535416656 × 10-111
< 0.1%

RFDHMDJ
Real number (ℝ)

Distinct36308
Distinct (%)> 99.9%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.020139142 × 1012
Minimum2.00109707 × 1012
Maximum2.065629993 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:27.605764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.00109707 × 1012
5-th percentile2.014909746 × 1012
Q12.018125476 × 1012
median2.02022223 × 1012
Q32.022299413 × 1012
95-th percentile2.025096919 × 1012
Maximum2.065629993 × 1012
Range6.453292275 × 1010
Interquartile range (IQR)4173937088

Descriptive statistics

Standard deviation3176261304
Coefficient of variation (CV)0.001572298283
Kurtosis1.78718446
Mean2.020139142 × 1012
Median Absolute Deviation (MAD)2085507200
Skewness-0.2015992978
Sum7.335327239 × 1016
Variance1.008863587 × 1019
MonotonicityNot monotonic
2024-08-10T10:43:27.937287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.02293688 × 10122
 
< 0.1%
2.02288199 × 10122
 
< 0.1%
2.016402642 × 10122
 
< 0.1%
2.01944848 × 10121
 
< 0.1%
2.023268316 × 10121
 
< 0.1%
2.014756749 × 10121
 
< 0.1%
2.015150196 × 10121
 
< 0.1%
2.024405935 × 10121
 
< 0.1%
2.023007013 × 10121
 
< 0.1%
2.02095057 × 10121
 
< 0.1%
Other values (36298) 36298
> 99.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
2.00109707 × 10121
< 0.1%
2.00150515 × 10121
< 0.1%
2.002601731 × 10121
< 0.1%
2.002611338 × 10121
< 0.1%
2.002665459 × 10121
< 0.1%
ValueCountFrequency (%)
2.065629993 × 10121
< 0.1%
2.033027467 × 10121
< 0.1%
2.032679159 × 10121
< 0.1%
2.032656706 × 10121
< 0.1%
2.032076633 × 10121
< 0.1%

UZXVNSW
Real number (ℝ)

SKEWED  ZEROS 

Distinct135
Distinct (%)0.4%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.409875795
Minimum0
Maximum2388
Zeros28258
Zeros (%)77.8%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:28.278110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum2388
Range2388
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.48673355
Coefficient of variation (CV)13.11231359
Kurtosis8185.961662
Mean1.409875795
Median Absolute Deviation (MAD)0
Skewness74.1824015
Sum51194
Variance341.7593175
MonotonicityNot monotonic
2024-08-10T10:43:28.602147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28258
77.8%
1 3879
 
10.7%
2 1378
 
3.8%
3 722
 
2.0%
4 431
 
1.2%
5 271
 
0.7%
6 188
 
0.5%
7 157
 
0.4%
8 118
 
0.3%
9 93
 
0.3%
Other values (125) 816
 
2.2%
ValueCountFrequency (%)
0 28258
77.8%
1 3879
 
10.7%
2 1378
 
3.8%
3 722
 
2.0%
4 431
 
1.2%
ValueCountFrequency (%)
2388 1
< 0.1%
918 1
< 0.1%
795 1
< 0.1%
775 1
< 0.1%
662 1
< 0.1%

PKCUSYS
Real number (ℝ)

SKEWED  ZEROS 

Distinct18
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.03368125361
Minimum0
Maximum298
Zeros35984
Zeros (%)99.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:28.868962image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum298
Range298
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.990571329
Coefficient of variation (CV)59.10027436
Kurtosis17873.71632
Mean0.03368125361
Median Absolute Deviation (MAD)0
Skewness129.7717426
Sum1223
Variance3.962374217
MonotonicityNot monotonic
2024-08-10T10:43:29.123121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 35984
99.1%
1 221
 
0.6%
2 57
 
0.2%
3 14
 
< 0.1%
4 10
 
< 0.1%
6 5
 
< 0.1%
5 3
 
< 0.1%
8 3
 
< 0.1%
7 3
 
< 0.1%
9 2
 
< 0.1%
Other values (8) 9
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 35984
99.1%
1 221
 
0.6%
2 57
 
0.2%
3 14
 
< 0.1%
4 10
 
< 0.1%
ValueCountFrequency (%)
298 1
< 0.1%
219 1
< 0.1%
48 1
< 0.1%
34 1
< 0.1%
31 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:29.372954image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.999752162
Min length3

Characters and Unicode

Total characters217875
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPRBS31
2nd rowPRBS31
3rd rowPRBS31
4th rowPRBS31
5th rowPRBS31
ValueCountFrequency (%)
prbs31 36311
> 99.9%
nan 3
 
< 0.1%
2024-08-10T10:43:29.892066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 36311
16.7%
R 36311
16.7%
B 36311
16.7%
S 36311
16.7%
3 36311
16.7%
1 36311
16.7%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 217875
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
P 36311
16.7%
R 36311
16.7%
B 36311
16.7%
S 36311
16.7%
3 36311
16.7%
1 36311
16.7%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 217875
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
P 36311
16.7%
R 36311
16.7%
B 36311
16.7%
S 36311
16.7%
3 36311
16.7%
1 36311
16.7%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 217875
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
P 36311
16.7%
R 36311
16.7%
B 36311
16.7%
S 36311
16.7%
3 36311
16.7%
1 36311
16.7%
n 6
 
< 0.1%
a 3
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:30.143781image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.999752162
Min length3

Characters and Unicode

Total characters217875
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPRBS31
2nd rowPRBS31
3rd rowPRBS31
4th rowPRBS31
5th rowPRBS31
ValueCountFrequency (%)
prbs31 36311
> 99.9%
nan 3
 
< 0.1%
2024-08-10T10:43:30.877015image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 36311
16.7%
R 36311
16.7%
B 36311
16.7%
S 36311
16.7%
3 36311
16.7%
1 36311
16.7%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 217875
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
P 36311
16.7%
R 36311
16.7%
B 36311
16.7%
S 36311
16.7%
3 36311
16.7%
1 36311
16.7%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 217875
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
P 36311
16.7%
R 36311
16.7%
B 36311
16.7%
S 36311
16.7%
3 36311
16.7%
1 36311
16.7%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 217875
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
P 36311
16.7%
R 36311
16.7%
B 36311
16.7%
S 36311
16.7%
3 36311
16.7%
1 36311
16.7%
n 6
 
< 0.1%
a 3
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:31.287822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.999834774
Min length3

Characters and Unicode

Total characters181564
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFalse
2nd rowFalse
3rd rowFalse
4th rowFalse
5th rowFalse
ValueCountFrequency (%)
false 36311
> 99.9%
nan 3
 
< 0.1%
2024-08-10T10:43:32.157928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 181564
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 181564
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 181564
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:32.523219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.999834774
Min length3

Characters and Unicode

Total characters181564
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFalse
2nd rowFalse
3rd rowFalse
4th rowFalse
5th rowFalse
ValueCountFrequency (%)
false 36311
> 99.9%
nan 3
 
< 0.1%
2024-08-10T10:43:33.434616image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 181564
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 181564
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 181564
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:33.842359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.999834774
Min length3

Characters and Unicode

Total characters181564
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFalse
2nd rowFalse
3rd rowFalse
4th rowFalse
5th rowFalse
ValueCountFrequency (%)
false 36311
> 99.9%
nan 3
 
< 0.1%
2024-08-10T10:43:34.606658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 181564
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 181564
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 181564
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 36314
20.0%
F 36311
20.0%
l 36311
20.0%
s 36311
20.0%
e 36311
20.0%
n 6
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:35.027151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.999669549
Min length3

Characters and Unicode

Total characters254186
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMSB_LSB
2nd rowMSB_LSB
3rd rowMSB_LSB
4th rowMSB_LSB
5th rowMSB_LSB
ValueCountFrequency (%)
msb_lsb 36311
> 99.9%
nan 3
 
< 0.1%
2024-08-10T10:43:35.774518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 72622
28.6%
B 72622
28.6%
M 36311
14.3%
_ 36311
14.3%
L 36311
14.3%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 254186
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
S 72622
28.6%
B 72622
28.6%
M 36311
14.3%
_ 36311
14.3%
L 36311
14.3%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 254186
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
S 72622
28.6%
B 72622
28.6%
M 36311
14.3%
_ 36311
14.3%
L 36311
14.3%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 254186
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
S 72622
28.6%
B 72622
28.6%
M 36311
14.3%
_ 36311
14.3%
L 36311
14.3%
n 6
 
< 0.1%
a 3
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:36.025351image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.999917387
Min length3

Characters and Unicode

Total characters145253
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTrue
2nd rowTrue
3rd rowTrue
4th rowTrue
5th rowTrue
ValueCountFrequency (%)
true 36311
> 99.9%
nan 3
 
< 0.1%
2024-08-10T10:43:36.520463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 36311
25.0%
r 36311
25.0%
u 36311
25.0%
e 36311
25.0%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 145253
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 36311
25.0%
r 36311
25.0%
u 36311
25.0%
e 36311
25.0%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 145253
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 36311
25.0%
r 36311
25.0%
u 36311
25.0%
e 36311
25.0%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 145253
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 36311
25.0%
r 36311
25.0%
u 36311
25.0%
e 36311
25.0%
n 6
 
< 0.1%
a 3
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:36.754523image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.999917387
Min length3

Characters and Unicode

Total characters145253
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTrue
2nd rowTrue
3rd rowTrue
4th rowTrue
5th rowTrue
ValueCountFrequency (%)
true 36311
> 99.9%
nan 3
 
< 0.1%
2024-08-10T10:43:37.831604image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 36311
25.0%
r 36311
25.0%
u 36311
25.0%
e 36311
25.0%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 145253
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 36311
25.0%
r 36311
25.0%
u 36311
25.0%
e 36311
25.0%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 145253
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 36311
25.0%
r 36311
25.0%
u 36311
25.0%
e 36311
25.0%
n 6
 
< 0.1%
a 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 145253
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 36311
25.0%
r 36311
25.0%
u 36311
25.0%
e 36311
25.0%
n 6
 
< 0.1%
a 3
 
< 0.1%

GNJJUIH
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:38.138114image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36311
Variance0
MonotonicityIncreasing
2024-08-10T10:43:38.351364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36311
> 99.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
1 36311
> 99.9%
ValueCountFrequency (%)
1 36311
> 99.9%

MKVXAUF
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:38.574064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36311
Variance0
MonotonicityIncreasing
2024-08-10T10:43:38.770482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36311
> 99.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
1 36311
> 99.9%
ValueCountFrequency (%)
1 36311
> 99.9%

VXZZORS
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:39.010653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36311
Variance0
MonotonicityIncreasing
2024-08-10T10:43:39.212317image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36311
> 99.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
1 36311
> 99.9%
ValueCountFrequency (%)
1 36311
> 99.9%

HOAJWUR
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:39.431021image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36311
Variance0
MonotonicityIncreasing
2024-08-10T10:43:39.622983image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36311
> 99.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
1 36311
> 99.9%
ValueCountFrequency (%)
1 36311
> 99.9%

KXGNEZR
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:39.840795image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36311
Variance0
MonotonicityIncreasing
2024-08-10T10:43:40.076448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36311
> 99.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
1 36311
> 99.9%
ValueCountFrequency (%)
1 36311
> 99.9%

NJFNKOX
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:40.297957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36311
Variance0
MonotonicityIncreasing
2024-08-10T10:43:40.500917image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36311
> 99.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
1 36311
> 99.9%
ValueCountFrequency (%)
1 36311
> 99.9%

VSXTBCN
Real number (ℝ)

Distinct180
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.751834444
Minimum1.591
Maximum1.938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:40.754501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.591
5-th percentile1.684
Q11.722
median1.751
Q31.781
95-th percentile1.822
Maximum1.938
Range0.347
Interquartile range (IQR)0.059

Descriptive statistics

Standard deviation0.04235320438
Coefficient of variation (CV)0.02417648798
Kurtosis-0.1083505045
Mean1.751834444
Median Absolute Deviation (MAD)0.029
Skewness0.07211559734
Sum63616.116
Variance0.001793793922
MonotonicityNot monotonic
2024-08-10T10:43:41.052674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.751 618
 
1.7%
1.754 590
 
1.6%
1.758 585
 
1.6%
1.744 583
 
1.6%
1.756 582
 
1.6%
1.761 555
 
1.5%
1.764 555
 
1.5%
1.749 555
 
1.5%
1.753 555
 
1.5%
1.746 553
 
1.5%
Other values (170) 30583
84.2%
ValueCountFrequency (%)
1.591 1
< 0.1%
1.598 1
< 0.1%
1.606 1
< 0.1%
1.609 1
< 0.1%
1.611 1
< 0.1%
ValueCountFrequency (%)
1.938 1
< 0.1%
1.921 1
< 0.1%
1.918 1
< 0.1%
1.909 1
< 0.1%
1.906 1
< 0.1%

XWIRHVW
Real number (ℝ)

Distinct169
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.686111252
Minimum1.54
Maximum1.872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:41.392766image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.54
5-th percentile1.621
Q11.658
median1.685
Q31.714
95-th percentile1.753
Maximum1.872
Range0.332
Interquartile range (IQR)0.056

Descriptive statistics

Standard deviation0.03980711644
Coefficient of variation (CV)0.0236088315
Kurtosis-0.1008579161
Mean1.686111252
Median Absolute Deviation (MAD)0.027
Skewness0.06681442585
Sum61229.444
Variance0.001584606519
MonotonicityNot monotonic
2024-08-10T10:43:41.672647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.69 636
 
1.8%
1.687 634
 
1.7%
1.692 627
 
1.7%
1.689 621
 
1.7%
1.685 621
 
1.7%
1.682 606
 
1.7%
1.678 603
 
1.7%
1.677 598
 
1.6%
1.68 592
 
1.6%
1.67 587
 
1.6%
Other values (159) 30189
83.1%
ValueCountFrequency (%)
1.54 2
< 0.1%
1.549 1
< 0.1%
1.552 1
< 0.1%
1.554 1
< 0.1%
1.557 1
< 0.1%
ValueCountFrequency (%)
1.872 1
< 0.1%
1.847 1
< 0.1%
1.845 1
< 0.1%
1.833 1
< 0.1%
1.832 1
< 0.1%

IIYLALO
Real number (ℝ)

Distinct161
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.618151925
Minimum1.478
Maximum1.803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:41.975110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.478
5-th percentile1.557
Q11.593
median1.618
Q31.643
95-th percentile1.68
Maximum1.803
Range0.325
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03759693695
Coefficient of variation (CV)0.02323449138
Kurtosis-0.1063153693
Mean1.618151925
Median Absolute Deviation (MAD)0.025
Skewness0.07243867947
Sum58761.569
Variance0.001413529668
MonotonicityNot monotonic
2024-08-10T10:43:42.283739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.62 718
 
2.0%
1.623 683
 
1.9%
1.616 678
 
1.9%
1.614 660
 
1.8%
1.625 647
 
1.8%
1.626 639
 
1.8%
1.608 639
 
1.8%
1.611 637
 
1.8%
1.621 629
 
1.7%
1.603 626
 
1.7%
Other values (151) 29758
81.9%
ValueCountFrequency (%)
1.478 1
< 0.1%
1.483 1
< 0.1%
1.492 1
< 0.1%
1.493 1
< 0.1%
1.497 1
< 0.1%
ValueCountFrequency (%)
1.803 1
< 0.1%
1.774 1
< 0.1%
1.766 1
< 0.1%
1.759 1
< 0.1%
1.756 1
< 0.1%

NGUTDOX
Real number (ℝ)

Distinct153
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.547142039
Minimum1.414
Maximum1.734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:42.590394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.414
5-th percentile1.49
Q11.522
median1.547
Q31.571
95-th percentile1.606
Maximum1.734
Range0.32
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.03550436131
Coefficient of variation (CV)0.02294835278
Kurtosis-0.08002336243
Mean1.547142039
Median Absolute Deviation (MAD)0.024
Skewness0.07924260168
Sum56182.916
Variance0.001260559672
MonotonicityNot monotonic
2024-08-10T10:43:42.879251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.552 718
 
2.0%
1.554 703
 
1.9%
1.551 701
 
1.9%
1.545 698
 
1.9%
1.549 691
 
1.9%
1.547 688
 
1.9%
1.544 679
 
1.9%
1.542 675
 
1.9%
1.535 657
 
1.8%
1.539 649
 
1.8%
Other values (143) 29455
81.1%
ValueCountFrequency (%)
1.414 1
< 0.1%
1.423 1
< 0.1%
1.429 2
< 0.1%
1.431 1
< 0.1%
1.433 1
< 0.1%
ValueCountFrequency (%)
1.734 1
< 0.1%
1.724 1
< 0.1%
1.692 1
< 0.1%
1.685 1
< 0.1%
1.684 2
< 0.1%

FVFVALZ
Real number (ℝ)

Distinct149
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.472891061
Minimum1.345
Maximum1.724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:43.208289image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.345
5-th percentile1.419
Q11.449
median1.473
Q31.495
95-th percentile1.529
Maximum1.724
Range0.379
Interquartile range (IQR)0.046

Descriptive statistics

Standard deviation0.03374368577
Coefficient of variation (CV)0.02290983133
Kurtosis0.01426622773
Mean1.472891061
Median Absolute Deviation (MAD)0.024
Skewness0.08804537304
Sum53486.566
Variance0.00113863633
MonotonicityNot monotonic
2024-08-10T10:43:43.518713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.468 749
 
2.1%
1.471 748
 
2.1%
1.473 742
 
2.0%
1.476 741
 
2.0%
1.47 731
 
2.0%
1.475 727
 
2.0%
1.463 720
 
2.0%
1.483 715
 
2.0%
1.48 705
 
1.9%
1.481 701
 
1.9%
Other values (139) 29035
80.0%
ValueCountFrequency (%)
1.345 1
< 0.1%
1.348 1
< 0.1%
1.359 1
< 0.1%
1.36 2
< 0.1%
1.362 1
< 0.1%
ValueCountFrequency (%)
1.724 1
< 0.1%
1.66 1
< 0.1%
1.613 1
< 0.1%
1.609 1
< 0.1%
1.608 1
< 0.1%

UCXNWDN
Real number (ℝ)

Distinct168
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.125048191
Minimum0.981
Maximum1.418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:43.861537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.981
5-th percentile1.069
Q11.103
median1.125
Q31.146
95-th percentile1.182
Maximum1.418
Range0.437
Interquartile range (IQR)0.043

Descriptive statistics

Standard deviation0.03454482702
Coefficient of variation (CV)0.03070519761
Kurtosis0.4017414242
Mean1.125048191
Median Absolute Deviation (MAD)0.022
Skewness0.09872387077
Sum40855
Variance0.001193345074
MonotonicityNot monotonic
2024-08-10T10:43:44.165455image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.126 757
 
2.1%
1.13 732
 
2.0%
1.131 732
 
2.0%
1.121 729
 
2.0%
1.114 724
 
2.0%
1.116 721
 
2.0%
1.128 720
 
2.0%
1.133 720
 
2.0%
1.125 710
 
2.0%
1.12 709
 
2.0%
Other values (158) 29060
80.0%
ValueCountFrequency (%)
0.981 1
< 0.1%
0.983 1
< 0.1%
0.987 1
< 0.1%
0.992 2
< 0.1%
0.993 2
< 0.1%
ValueCountFrequency (%)
1.418 1
< 0.1%
1.293 1
< 0.1%
1.29 1
< 0.1%
1.286 1
< 0.1%
1.283 1
< 0.1%

OENIIAU
Real number (ℝ)

Distinct110
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.42518858
Minimum9.229
Maximum11.484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:44.479145image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.229
5-th percentile10.034
Q110.261
median10.418
Q310.593
95-th percentile10.838
Maximum11.484
Range2.255
Interquartile range (IQR)0.332

Descriptive statistics

Standard deviation0.2427140717
Coefficient of variation (CV)0.0232815042
Kurtosis0.05604965619
Mean10.42518858
Median Absolute Deviation (MAD)0.157
Skewness0.03496570276
Sum378580.298
Variance0.05891012058
MonotonicityNot monotonic
2024-08-10T10:43:44.765939image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.383 1087
 
3.0%
10.331 1064
 
2.9%
10.505 1035
 
2.9%
10.296 1021
 
2.8%
10.348 1011
 
2.8%
10.418 1009
 
2.8%
10.453 1005
 
2.8%
10.366 1003
 
2.8%
10.313 986
 
2.7%
10.471 983
 
2.7%
Other values (100) 26110
71.9%
ValueCountFrequency (%)
9.229 1
 
< 0.1%
9.422 1
 
< 0.1%
9.492 1
 
< 0.1%
9.527 3
< 0.1%
9.544 1
 
< 0.1%
ValueCountFrequency (%)
11.484 1
 
< 0.1%
11.379 1
 
< 0.1%
11.362 1
 
< 0.1%
11.345 3
< 0.1%
11.31 3
< 0.1%

JTIJWNL
Real number (ℝ)

Distinct105
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.365744809
Minimum8.216
Maximum10.401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:45.063355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum8.216
5-th percentile9.002
Q19.212
median9.369
Q39.509
95-th percentile9.736
Maximum10.401
Range2.185
Interquartile range (IQR)0.297

Descriptive statistics

Standard deviation0.2264254484
Coefficient of variation (CV)0.02417591479
Kurtosis0.05580277336
Mean9.365744809
Median Absolute Deviation (MAD)0.157
Skewness0.03043005526
Sum340107.657
Variance0.05126848369
MonotonicityNot monotonic
2024-08-10T10:43:45.382496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.387 1202
 
3.3%
9.474 1122
 
3.1%
9.369 1100
 
3.0%
9.457 1094
 
3.0%
9.422 1088
 
3.0%
9.439 1074
 
3.0%
9.282 1072
 
3.0%
9.264 1071
 
2.9%
9.334 1050
 
2.9%
9.352 1035
 
2.9%
Other values (95) 25406
70.0%
ValueCountFrequency (%)
8.216 1
< 0.1%
8.425 1
< 0.1%
8.46 2
< 0.1%
8.495 1
< 0.1%
8.513 1
< 0.1%
ValueCountFrequency (%)
10.401 1
< 0.1%
10.331 1
< 0.1%
10.261 1
< 0.1%
10.243 2
< 0.1%
10.208 1
< 0.1%

XWQPLHB
Real number (ℝ)

Distinct101
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.307045933
Minimum7.219
Maximum9.299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:45.831503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.219
5-th percentile7.953
Q18.163
median8.303
Q38.46
95-th percentile8.67
Maximum9.299
Range2.08
Interquartile range (IQR)0.297

Descriptive statistics

Standard deviation0.219339678
Coefficient of variation (CV)0.02640405263
Kurtosis0.06574646437
Mean8.307045933
Median Absolute Deviation (MAD)0.14
Skewness0.02382273571
Sum301662.066
Variance0.04810989435
MonotonicityNot monotonic
2024-08-10T10:43:46.344386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.32 1255
 
3.5%
8.338 1232
 
3.4%
8.373 1215
 
3.3%
8.355 1211
 
3.3%
8.268 1189
 
3.3%
8.303 1171
 
3.2%
8.286 1153
 
3.2%
8.233 1066
 
2.9%
8.408 1055
 
2.9%
8.39 1054
 
2.9%
Other values (91) 24713
68.1%
ValueCountFrequency (%)
7.219 1
 
< 0.1%
7.446 2
< 0.1%
7.464 3
< 0.1%
7.481 1
 
< 0.1%
7.516 3
< 0.1%
ValueCountFrequency (%)
9.299 1
< 0.1%
9.282 1
< 0.1%
9.177 1
< 0.1%
9.16 1
< 0.1%
9.125 1
< 0.1%

CMACFHX
Real number (ℝ)

Distinct154
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.926500936
Minimum0.559
Maximum3.496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:46.889598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.559
5-th percentile1.363
Q11.696
median1.923
Q32.15
95-th percentile2.482
Maximum3.496
Range2.937
Interquartile range (IQR)0.454

Descriptive statistics

Standard deviation0.3394877717
Coefficient of variation (CV)0.1762198841
Kurtosis0.2123981887
Mean1.926500936
Median Absolute Deviation (MAD)0.227
Skewness0.04710378095
Sum69958.955
Variance0.1152519471
MonotonicityNot monotonic
2024-08-10T10:43:47.398672image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.888 834
 
2.3%
1.94 830
 
2.3%
1.905 818
 
2.3%
1.923 796
 
2.2%
1.87 790
 
2.2%
1.975 786
 
2.2%
1.835 748
 
2.1%
1.993 741
 
2.0%
1.958 736
 
2.0%
1.818 725
 
2.0%
Other values (144) 28510
78.5%
ValueCountFrequency (%)
0.559 1
 
< 0.1%
0.612 1
 
< 0.1%
0.682 1
 
< 0.1%
0.717 5
< 0.1%
0.734 2
 
< 0.1%
ValueCountFrequency (%)
3.496 1
< 0.1%
3.391 1
< 0.1%
3.374 2
< 0.1%
3.356 1
< 0.1%
3.321 1
< 0.1%

IMTAJAV
Real number (ℝ)

Distinct1348
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.895172881
Minimum4.741
Maximum6.839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:47.929060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.741
5-th percentile5.45765
Q15.697
median5.911
Q36.089
95-th percentile6.306
Maximum6.839
Range2.098
Interquartile range (IQR)0.392

Descriptive statistics

Standard deviation0.2610383579
Coefficient of variation (CV)0.04428001742
Kurtosis-0.6191057009
Mean5.895172881
Median Absolute Deviation (MAD)0.195
Skewness-0.1209664574
Sum214077.308
Variance0.06814102428
MonotonicityNot monotonic
2024-08-10T10:43:48.402542image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.928 66
 
0.2%
5.933 66
 
0.2%
6.029 65
 
0.2%
6.075 65
 
0.2%
5.978 65
 
0.2%
6.016 64
 
0.2%
6.113 64
 
0.2%
5.945 63
 
0.2%
6.085 63
 
0.2%
6.011 63
 
0.2%
Other values (1338) 35670
98.2%
ValueCountFrequency (%)
4.741 1
< 0.1%
5.057 1
< 0.1%
5.066 1
< 0.1%
5.133 1
< 0.1%
5.14 1
< 0.1%
ValueCountFrequency (%)
6.839 1
< 0.1%
6.748 1
< 0.1%
6.747 1
< 0.1%
6.715 1
< 0.1%
6.682 1
< 0.1%

AHBBVON
Real number (ℝ)

Distinct1259
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.603311312
Minimum4.481
Maximum6.451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:48.920303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.481
5-th percentile5.198
Q15.421
median5.62
Q35.782
95-th percentile5.981
Maximum6.451
Range1.97
Interquartile range (IQR)0.361

Descriptive statistics

Standard deviation0.2406038025
Coefficient of variation (CV)0.04293957432
Kurtosis-0.605823066
Mean5.603311312
Median Absolute Deviation (MAD)0.179
Skewness-0.1348919807
Sum203478.647
Variance0.05789018978
MonotonicityNot monotonic
2024-08-10T10:43:49.411479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.682 81
 
0.2%
5.718 78
 
0.2%
5.69 75
 
0.2%
5.639 75
 
0.2%
5.749 74
 
0.2%
5.713 71
 
0.2%
5.747 70
 
0.2%
5.624 69
 
0.2%
5.691 69
 
0.2%
5.735 69
 
0.2%
Other values (1249) 35583
98.0%
ValueCountFrequency (%)
4.481 1
< 0.1%
4.82 1
< 0.1%
4.84 1
< 0.1%
4.855 1
< 0.1%
4.87 1
< 0.1%
ValueCountFrequency (%)
6.451 1
< 0.1%
6.383 1
< 0.1%
6.37 1
< 0.1%
6.323 1
< 0.1%
6.296 1
< 0.1%

HHSFOPV
Real number (ℝ)

Distinct1169
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.228136669
Minimum4.157
Maximum5.974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:49.967018image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.157
5-th percentile4.856
Q15.064
median5.243
Q35.391
95-th percentile5.574
Maximum5.974
Range1.817
Interquartile range (IQR)0.327

Descriptive statistics

Standard deviation0.2199010289
Coefficient of variation (CV)0.04206107124
Kurtosis-0.5728646341
Mean5.228136669
Median Absolute Deviation (MAD)0.162
Skewness-0.1362481628
Sum189854.555
Variance0.0483564625
MonotonicityNot monotonic
2024-08-10T10:43:50.447596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.325 82
 
0.2%
5.264 80
 
0.2%
5.33 79
 
0.2%
5.243 78
 
0.2%
5.337 77
 
0.2%
5.338 77
 
0.2%
5.309 76
 
0.2%
5.235 75
 
0.2%
5.312 74
 
0.2%
5.349 73
 
0.2%
Other values (1159) 35543
97.9%
ValueCountFrequency (%)
4.157 1
< 0.1%
4.476 1
< 0.1%
4.495 1
< 0.1%
4.531 1
< 0.1%
4.532 1
< 0.1%
ValueCountFrequency (%)
5.974 1
< 0.1%
5.933 1
< 0.1%
5.929 1
< 0.1%
5.907 1
< 0.1%
5.867 1
< 0.1%

TXVCNZC
Real number (ℝ)

Distinct1083
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.779255962
Minimum3.792
Maximum5.442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:50.761204image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.792
5-th percentile4.443
Q14.634
median4.791
Q34.926
95-th percentile5.091
Maximum5.442
Range1.65
Interquartile range (IQR)0.292

Descriptive statistics

Standard deviation0.1983352423
Coefficient of variation (CV)0.04149918813
Kurtosis-0.5154839686
Mean4.779255962
Median Absolute Deviation (MAD)0.145
Skewness-0.1316864734
Sum173553.901
Variance0.03933686833
MonotonicityNot monotonic
2024-08-10T10:43:51.059986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.817 87
 
0.2%
4.863 86
 
0.2%
4.844 85
 
0.2%
4.909 85
 
0.2%
4.832 83
 
0.2%
4.831 81
 
0.2%
4.802 81
 
0.2%
4.833 81
 
0.2%
4.774 80
 
0.2%
4.786 80
 
0.2%
Other values (1073) 35485
97.7%
ValueCountFrequency (%)
3.792 1
< 0.1%
4.059 1
< 0.1%
4.114 1
< 0.1%
4.124 1
< 0.1%
4.153 1
< 0.1%
ValueCountFrequency (%)
5.442 1
< 0.1%
5.419 1
< 0.1%
5.403 1
< 0.1%
5.394 2
< 0.1%
5.383 1
< 0.1%

JZQULTU
Real number (ℝ)

Distinct1011
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.270115851
Minimum3.387
Maximum4.899
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:51.362308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.387
5-th percentile3.97
Q14.142
median4.278
Q34.4
95-th percentile4.551
Maximum4.899
Range1.512
Interquartile range (IQR)0.258

Descriptive statistics

Standard deviation0.177810895
Coefficient of variation (CV)0.04164076602
Kurtosis-0.4288553369
Mean4.270115851
Median Absolute Deviation (MAD)0.129
Skewness-0.1138221571
Sum155064.987
Variance0.03161671439
MonotonicityNot monotonic
2024-08-10T10:43:51.657856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.32 96
 
0.3%
4.287 95
 
0.3%
4.323 93
 
0.3%
4.328 92
 
0.3%
4.3 92
 
0.3%
4.263 90
 
0.2%
4.258 90
 
0.2%
4.252 90
 
0.2%
4.254 89
 
0.2%
4.33 89
 
0.2%
Other values (1001) 35398
97.5%
ValueCountFrequency (%)
3.387 1
< 0.1%
3.607 1
< 0.1%
3.655 1
< 0.1%
3.686 1
< 0.1%
3.698 1
< 0.1%
ValueCountFrequency (%)
4.899 1
< 0.1%
4.884 1
< 0.1%
4.872 1
< 0.1%
4.842 1
< 0.1%
4.82 1
< 0.1%

BGHDMAS
Real number (ℝ)

Distinct958
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.712315526
Minimum2.949
Maximum4.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:51.958510image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.949
5-th percentile3.443
Q13.598
median3.716
Q33.827
95-th percentile3.97
Maximum4.35
Range1.401
Interquartile range (IQR)0.229

Descriptive statistics

Standard deviation0.1605088267
Coefficient of variation (CV)0.04323684922
Kurtosis-0.3080244563
Mean3.712315526
Median Absolute Deviation (MAD)0.114
Skewness-0.06944075542
Sum134809.026
Variance0.02576308343
MonotonicityNot monotonic
2024-08-10T10:43:52.257479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.711 106
 
0.3%
3.744 103
 
0.3%
3.776 102
 
0.3%
3.763 100
 
0.3%
3.795 98
 
0.3%
3.781 97
 
0.3%
3.709 97
 
0.3%
3.796 97
 
0.3%
3.723 97
 
0.3%
3.735 96
 
0.3%
Other values (948) 35321
97.3%
ValueCountFrequency (%)
2.949 1
< 0.1%
3.131 1
< 0.1%
3.136 1
< 0.1%
3.149 1
< 0.1%
3.174 1
< 0.1%
ValueCountFrequency (%)
4.35 1
< 0.1%
4.319 1
< 0.1%
4.253 1
< 0.1%
4.245 1
< 0.1%
4.239 1
< 0.1%

HPCWOKU
Real number (ℝ)

Distinct904
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.117126122
Minimum2.512
Maximum3.753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:52.578867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.512
5-th percentile2.882
Q13.012
median3.116
Q33.218
95-th percentile3.359
Maximum3.753
Range1.241
Interquartile range (IQR)0.206

Descriptive statistics

Standard deviation0.145964146
Coefficient of variation (CV)0.04682651271
Kurtosis-0.1916473876
Mean3.117126122
Median Absolute Deviation (MAD)0.103
Skewness0.08184110538
Sum113195.318
Variance0.02130553191
MonotonicityNot monotonic
2024-08-10T10:43:52.919042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.059 121
 
0.3%
3.168 120
 
0.3%
3.098 118
 
0.3%
3.099 115
 
0.3%
3.181 108
 
0.3%
3.154 107
 
0.3%
3.131 106
 
0.3%
3.105 105
 
0.3%
3.123 105
 
0.3%
3.148 105
 
0.3%
Other values (894) 35204
96.9%
ValueCountFrequency (%)
2.512 1
< 0.1%
2.568 1
< 0.1%
2.573 1
< 0.1%
2.589 1
< 0.1%
2.594 1
< 0.1%
ValueCountFrequency (%)
3.753 1
< 0.1%
3.752 1
< 0.1%
3.688 1
< 0.1%
3.685 1
< 0.1%
3.648 1
< 0.1%

MQXCIBE
Real number (ℝ)

Distinct1000
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.509710718
Minimum1.801
Maximum3.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:53.234523image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.801
5-th percentile2.234
Q12.414
median2.512
Q32.612
95-th percentile2.759
Maximum3.16
Range1.359
Interquartile range (IQR)0.198

Descriptive statistics

Standard deviation0.1540578427
Coefficient of variation (CV)0.0613847013
Kurtosis0.2761077892
Mean2.509710718
Median Absolute Deviation (MAD)0.099
Skewness-0.1590259113
Sum91137.635
Variance0.02373381891
MonotonicityNot monotonic
2024-08-10T10:43:53.553098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.466 120
 
0.3%
2.537 118
 
0.3%
2.511 115
 
0.3%
2.465 113
 
0.3%
2.56 113
 
0.3%
2.53 112
 
0.3%
2.495 112
 
0.3%
2.47 111
 
0.3%
2.522 110
 
0.3%
2.493 110
 
0.3%
Other values (990) 35180
96.9%
ValueCountFrequency (%)
1.801 1
< 0.1%
1.808 1
< 0.1%
1.845 1
< 0.1%
1.859 1
< 0.1%
1.862 1
< 0.1%
ValueCountFrequency (%)
3.16 1
< 0.1%
3.141 1
< 0.1%
3.12 1
< 0.1%
3.114 2
< 0.1%
3.102 1
< 0.1%

FBBFYZM
Real number (ℝ)

Distinct1074
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.809681087
Minimum1.057
Maximum2.608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:53.872984image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.057
5-th percentile1.562
Q11.71
median1.806
Q31.908
95-th percentile2.063
Maximum2.608
Range1.551
Interquartile range (IQR)0.198

Descriptive statistics

Standard deviation0.1542305994
Coefficient of variation (CV)0.08522529217
Kurtosis0.6720656621
Mean1.809681087
Median Absolute Deviation (MAD)0.099
Skewness0.1323429482
Sum65716.759
Variance0.02378707779
MonotonicityNot monotonic
2024-08-10T10:43:54.184908image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.773 126
 
0.3%
1.792 118
 
0.3%
1.786 115
 
0.3%
1.787 114
 
0.3%
1.777 113
 
0.3%
1.804 113
 
0.3%
1.862 113
 
0.3%
1.838 113
 
0.3%
1.797 113
 
0.3%
1.771 112
 
0.3%
Other values (1064) 35164
96.8%
ValueCountFrequency (%)
1.057 2
< 0.1%
1.103 1
< 0.1%
1.168 1
< 0.1%
1.169 1
< 0.1%
1.175 1
< 0.1%
ValueCountFrequency (%)
2.608 1
< 0.1%
2.594 1
< 0.1%
2.589 1
< 0.1%
2.54 2
< 0.1%
2.539 1
< 0.1%

BHSHCHU
Real number (ℝ)

Distinct1118
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.144794652
Minimum0.389
Maximum1.972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:54.496127image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.389
5-th percentile0.884
Q11.041
median1.141
Q31.247
95-th percentile1.413
Maximum1.972
Range1.583
Interquartile range (IQR)0.206

Descriptive statistics

Standard deviation0.1620109871
Coefficient of variation (CV)0.1415196924
Kurtosis0.6344921746
Mean1.144794652
Median Absolute Deviation (MAD)0.103
Skewness0.1506470072
Sum41572.073
Variance0.02624755993
MonotonicityNot monotonic
2024-08-10T10:43:54.809435image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.074 115
 
0.3%
1.075 112
 
0.3%
1.204 112
 
0.3%
1.133 112
 
0.3%
1.121 111
 
0.3%
1.096 109
 
0.3%
1.117 108
 
0.3%
1.11 107
 
0.3%
1.154 107
 
0.3%
1.102 107
 
0.3%
Other values (1108) 35214
97.0%
ValueCountFrequency (%)
0.389 1
< 0.1%
0.41 1
< 0.1%
0.428 1
< 0.1%
0.484 1
< 0.1%
0.507 1
< 0.1%
ValueCountFrequency (%)
1.972 1
< 0.1%
1.967 1
< 0.1%
1.953 1
< 0.1%
1.924 1
< 0.1%
1.909 1
< 0.1%

XLVHGLO
Real number (ℝ)

Distinct1097
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.514149061
Minimum0.006
Maximum1.426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:55.128315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.006
5-th percentile0.261
Q10.409
median0.506
Q30.612
95-th percentile0.789
Maximum1.426
Range1.42
Interquartile range (IQR)0.203

Descriptive statistics

Standard deviation0.1617736686
Coefficient of variation (CV)0.3146435166
Kurtosis0.7482109038
Mean0.514149061
Median Absolute Deviation (MAD)0.101
Skewness0.3404032253
Sum18670.809
Variance0.02617071986
MonotonicityNot monotonic
2024-08-10T10:43:55.440359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.501 113
 
0.3%
0.507 111
 
0.3%
0.537 111
 
0.3%
0.446 111
 
0.3%
0.505 110
 
0.3%
0.506 110
 
0.3%
0.457 110
 
0.3%
0.468 110
 
0.3%
0.444 109
 
0.3%
0.436 109
 
0.3%
Other values (1087) 35210
97.0%
ValueCountFrequency (%)
0.006 4
< 0.1%
0.007 4
< 0.1%
0.008 8
< 0.1%
0.009 3
 
< 0.1%
0.01 1
 
< 0.1%
ValueCountFrequency (%)
1.426 1
< 0.1%
1.389 1
< 0.1%
1.377 1
< 0.1%
1.337 1
< 0.1%
1.311 1
< 0.1%

ZMOCACF
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02421030305
Minimum0
Maximum5.844485
Zeros35732
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:55.738619image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5.844485
Range5.844485
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1937389623
Coefficient of variation (CV)8.002335282
Kurtosis93.19134675
Mean0.02421030305
Median Absolute Deviation (MAD)0
Skewness8.732132188
Sum879.172945
Variance0.03753478551
MonotonicityNot monotonic
2024-08-10T10:43:56.030786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 35732
98.4%
1.464653 55
 
0.2%
1.461121 53
 
0.1%
1.459362 41
 
0.1%
1.465538 38
 
0.1%
1.462885 36
 
0.1%
1.458484 34
 
0.1%
1.467312 33
 
0.1%
1.462002 32
 
0.1%
1.463768 30
 
0.1%
Other values (30) 230
 
0.6%
ValueCountFrequency (%)
0 35732
98.4%
1.451497 3
 
< 0.1%
1.452367 2
 
< 0.1%
1.454109 6
 
< 0.1%
1.454982 11
 
< 0.1%
ValueCountFrequency (%)
5.844485 1
< 0.1%
4.380723 1
< 0.1%
2.938182 1
< 0.1%
2.934625 1
< 0.1%
2.932849 1
< 0.1%

XFLCFEY
Real number (ℝ)

Distinct339
Distinct (%)0.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.424457043
Minimum-8.080840111
Maximum16.66653156
Zeros0
Zeros (%)0.0%
Negative3874
Negative (%)10.7%
Memory size567.4 KiB
2024-08-10T10:43:56.324862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-8.080840111
5-th percentile-1.447916031
Q11.717209816
median4.578948021
Q36.969690323
95-th percentile10.13457775
Maximum16.66653156
Range24.74737167
Interquartile range (IQR)5.252480507

Descriptive statistics

Standard deviation3.575653727
Coefficient of variation (CV)0.8081565021
Kurtosis-0.5139426823
Mean4.424457043
Median Absolute Deviation (MAD)2.659797668
Skewness0.0009399469123
Sum160660.8841
Variance12.78529958
MonotonicityNot monotonic
2024-08-10T10:43:56.616117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.400564194 630
 
1.7%
4.983305931 589
 
1.6%
3.501772881 572
 
1.6%
5.084276199 558
 
1.5%
6.565690041 557
 
1.5%
1.717209816 538
 
1.5%
1.818180084 537
 
1.5%
4.882216454 536
 
1.5%
3.299713135 534
 
1.5%
3.602743149 520
 
1.4%
Other values (329) 30741
84.7%
ValueCountFrequency (%)
-8.080840111 1
 
< 0.1%
-7.979869843 1
 
< 0.1%
-6.700277328 2
 
< 0.1%
-6.59942627 5
< 0.1%
-6.498336792 5
< 0.1%
ValueCountFrequency (%)
16.66653156 1
< 0.1%
16.5656805 1
< 0.1%
16.36362076 1
< 0.1%
15.69032669 1
< 0.1%
15.38717747 1
< 0.1%

UYETXXG
Real number (ℝ)

Distinct322
Distinct (%)0.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.545059924
Minimum-9.292960167
Maximum17.8450346
Zeros7
Zeros (%)< 0.1%
Negative4003
Negative (%)11.0%
Memory size567.4 KiB
2024-08-10T10:43:56.894995image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-9.292960167
5-th percentile-1.077413559
Q11.98662281
median4.478096962
Q37.340192795
95-th percentile10.50508022
Maximum17.8450346
Range27.13799477
Interquartile range (IQR)5.353569984

Descriptive statistics

Standard deviation3.580445086
Coefficient of variation (CV)0.7877663101
Kurtosis-0.4651993266
Mean4.545059924
Median Absolute Deviation (MAD)2.761006355
Skewness-0.01316201323
Sum165040.216
Variance12.81958701
MonotonicityNot monotonic
2024-08-10T10:43:57.197725image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.276037216 629
 
1.7%
4.478096962 624
 
1.7%
4.377126694 620
 
1.7%
2.693653107 607
 
1.7%
2.794623375 607
 
1.7%
6.060600281 605
 
1.7%
4.175066948 600
 
1.7%
5.959391594 574
 
1.6%
4.578948021 552
 
1.5%
6.161689758 551
 
1.5%
Other values (312) 30343
83.6%
ValueCountFrequency (%)
-9.292960167 1
< 0.1%
-8.787870407 1
< 0.1%
-7.710456848 1
< 0.1%
-7.60948658 1
< 0.1%
-7.407426834 1
< 0.1%
ValueCountFrequency (%)
17.8450346 1
< 0.1%
17.54200459 1
< 0.1%
16.46471024 1
< 0.1%
16.26265049 1
< 0.1%
16.16168022 1
< 0.1%

DATPBXC
Real number (ℝ)

Distinct306
Distinct (%)0.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.17584753
Minimum-8.316516876
Maximum21.88551426
Zeros355
Zeros (%)1.0%
Negative4016
Negative (%)11.1%
Memory size567.4 KiB
2024-08-10T10:43:58.222492image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-8.316516876
5-th percentile-1.481413841
Q11.784563065
median3.973126411
Q36.936073303
95-th percentile10.10096073
Maximum21.88551426
Range30.20203114
Interquartile range (IQR)5.151510239

Descriptive statistics

Standard deviation3.601568272
Coefficient of variation (CV)0.8624759994
Kurtosis-0.4387210379
Mean4.17584753
Median Absolute Deviation (MAD)2.659916878
Skewness-0.01986139727
Sum151633.3755
Variance12.97129402
MonotonicityNot monotonic
2024-08-10T10:43:58.517434image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.353569984 696
 
1.9%
3.670096397 670
 
1.8%
1.98662281 648
 
1.8%
3.771066666 632
 
1.7%
1.885533333 626
 
1.7%
2.087593079 623
 
1.7%
3.56900692 614
 
1.7%
5.252599716 610
 
1.7%
3.872156143 605
 
1.7%
5.454540253 605
 
1.7%
Other values (296) 29983
82.6%
ValueCountFrequency (%)
-8.316516876 1
 
< 0.1%
-7.912397385 1
 
< 0.1%
-7.811427116 1
 
< 0.1%
-6.734013557 3
< 0.1%
-6.633043289 5
< 0.1%
ValueCountFrequency (%)
21.88551426 1
< 0.1%
17.03703403 1
< 0.1%
16.53194427 2
< 0.1%
15.75767994 1
< 0.1%
15.65659046 1
< 0.1%

QIIBORT
Real number (ℝ)

Distinct304
Distinct (%)0.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.560113413
Minimum-8.821606636
Maximum16.63303375
Zeros302
Zeros (%)0.8%
Negative4178
Negative (%)11.5%
Memory size567.4 KiB
2024-08-10T10:43:58.830466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-8.821606636
5-th percentile-1.481413841
Q11.683473587
median4.545450211
Q37.407426834
95-th percentile10.20205021
Maximum16.63303375
Range25.45464039
Interquartile range (IQR)5.723953247

Descriptive statistics

Standard deviation3.62325576
Coefficient of variation (CV)0.79455387
Kurtosis-0.4451234085
Mean4.560113413
Median Absolute Deviation (MAD)2.861976624
Skewness-0.01878109517
Sum165586.8382
Variance13.1279823
MonotonicityNot monotonic
2024-08-10T10:43:59.141466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.545450211 722
 
2.0%
4.646420479 712
 
2.0%
2.962946892 702
 
1.9%
6.228923798 685
 
1.9%
6.329894066 677
 
1.9%
4.747390747 667
 
1.8%
2.861857414 640
 
1.8%
6.12783432 616
 
1.7%
4.444360733 614
 
1.7%
3.06391716 609
 
1.7%
Other values (294) 29668
81.7%
ValueCountFrequency (%)
-8.821606636 1
< 0.1%
-8.417487144 1
< 0.1%
-8.316516876 2
< 0.1%
-8.215427399 1
< 0.1%
-7.6431036 1
< 0.1%
ValueCountFrequency (%)
16.63303375 1
 
< 0.1%
16.53194427 1
 
< 0.1%
16.43097401 2
< 0.1%
16.32988453 3
< 0.1%
16.22891426 1
 
< 0.1%

JIOWSAX
Real number (ℝ)

Distinct174
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.670638729
Minimum1.521886
Maximum1.860269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:43:59.439036image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.521886
5-th percentile1.606061
Q11.643098
median1.670034
Q31.69697
95-th percentile1.737374
Maximum1.860269
Range0.338383
Interquartile range (IQR)0.053872

Descriptive statistics

Standard deviation0.04019514672
Coefficient of variation (CV)0.02405974794
Kurtosis-0.08415400359
Mean1.670638729
Median Absolute Deviation (MAD)0.026936
Skewness0.08834192785
Sum60664.23353
Variance0.00161564982
MonotonicityNot monotonic
2024-08-10T10:43:59.715455image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.670034 650
 
1.8%
1.673401 638
 
1.8%
1.678451 609
 
1.7%
1.664983 607
 
1.7%
1.651515 591
 
1.6%
1.675084 583
 
1.6%
1.683502 583
 
1.6%
1.656566 577
 
1.6%
1.666667 576
 
1.6%
1.66835 573
 
1.6%
Other values (164) 30325
83.5%
ValueCountFrequency (%)
1.521886 1
< 0.1%
1.523569 1
< 0.1%
1.52862 1
< 0.1%
1.53367 2
< 0.1%
1.53872 1
< 0.1%
ValueCountFrequency (%)
1.860269 1
< 0.1%
1.833333 1
< 0.1%
1.826599 1
< 0.1%
1.823232 1
< 0.1%
1.821549 2
< 0.1%

QRTDBHR
Real number (ℝ)

Distinct105
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.39119908
Minimum8.216
Maximum10.418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:00.048419image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum8.216
5-th percentile9.02
Q19.229
median9.387
Q39.544
95-th percentile9.771
Maximum10.418
Range2.202
Interquartile range (IQR)0.315

Descriptive statistics

Standard deviation0.2269030174
Coefficient of variation (CV)0.02416124027
Kurtosis0.05219663421
Mean9.39119908
Median Absolute Deviation (MAD)0.157
Skewness0.03236652639
Sum341013.221
Variance0.05148497931
MonotonicityNot monotonic
2024-08-10T10:44:00.338060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.387 1176
 
3.2%
9.474 1130
 
3.1%
9.457 1126
 
3.1%
9.422 1126
 
3.1%
9.369 1102
 
3.0%
9.439 1101
 
3.0%
9.264 1075
 
3.0%
9.492 1067
 
2.9%
9.352 1065
 
2.9%
9.334 1063
 
2.9%
Other values (95) 25281
69.6%
ValueCountFrequency (%)
8.216 1
< 0.1%
8.425 1
< 0.1%
8.495 2
< 0.1%
8.53 1
< 0.1%
8.548 1
< 0.1%
ValueCountFrequency (%)
10.418 1
< 0.1%
10.383 1
< 0.1%
10.296 1
< 0.1%
10.261 2
< 0.1%
10.243 1
< 0.1%

PCYIKPD
Real number (ℝ)

Distinct165
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.603574989
Minimum1.464646
Maximum1.792929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:00.769759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.464646
5-th percentile1.542088
Q11.577441
median1.602694
Q31.62963
95-th percentile1.666667
Maximum1.792929
Range0.328283
Interquartile range (IQR)0.052189

Descriptive statistics

Standard deviation0.0377841763
Coefficient of variation (CV)0.02356246297
Kurtosis-0.08228894568
Mean1.603574989
Median Absolute Deviation (MAD)0.025253
Skewness0.09065373855
Sum58229.015
Variance0.001427643979
MonotonicityNot monotonic
2024-08-10T10:44:01.249034image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.60101 675
 
1.9%
1.590909 663
 
1.8%
1.612795 658
 
1.8%
1.602694 652
 
1.8%
1.606061 638
 
1.8%
1.594276 638
 
1.8%
1.597643 631
 
1.7%
1.614478 631
 
1.7%
1.604377 629
 
1.7%
1.611111 628
 
1.7%
Other values (155) 29869
82.3%
ValueCountFrequency (%)
1.464646 1
< 0.1%
1.468014 1
< 0.1%
1.473064 1
< 0.1%
1.476431 1
< 0.1%
1.479798 1
< 0.1%
ValueCountFrequency (%)
1.792929 1
< 0.1%
1.760943 1
< 0.1%
1.749158 1
< 0.1%
1.747475 1
< 0.1%
1.742424 2
< 0.1%

DNHHKRL
Real number (ℝ)

Distinct154
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.533995543
Minimum1.40404
Maximum1.723906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:01.792712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.40404
5-th percentile1.476431
Q11.508417
median1.53367
Q31.557239
95-th percentile1.592593
Maximum1.723906
Range0.319866
Interquartile range (IQR)0.048822

Descriptive statistics

Standard deviation0.03557614617
Coefficient of variation (CV)0.02319181847
Kurtosis-0.06167046947
Mean1.533995543
Median Absolute Deviation (MAD)0.023569
Skewness0.09726639649
Sum55702.44617
Variance0.001265662176
MonotonicityNot monotonic
2024-08-10T10:44:02.264925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.535354 735
 
2.0%
1.531986 694
 
1.9%
1.53872 688
 
1.9%
1.526936 686
 
1.9%
1.53367 686
 
1.9%
1.521886 677
 
1.9%
1.540404 658
 
1.8%
1.542088 656
 
1.8%
1.537037 651
 
1.8%
1.530303 649
 
1.8%
Other values (144) 29532
81.3%
ValueCountFrequency (%)
1.40404 1
< 0.1%
1.409091 1
< 0.1%
1.410774 1
< 0.1%
1.414141 1
< 0.1%
1.417508 2
< 0.1%
ValueCountFrequency (%)
1.723906 2
< 0.1%
1.683502 1
< 0.1%
1.675084 1
< 0.1%
1.670034 1
< 0.1%
1.664983 2
< 0.1%

ZIWVRVM
Real number (ℝ)

Distinct149
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.461497953
Minimum1.3367
Maximum1.723906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:02.719529image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.3367
5-th percentile1.407407
Q11.43771
median1.46128
Q31.484848
95-th percentile1.518519
Maximum1.723906
Range0.387206
Interquartile range (IQR)0.047138

Descriptive statistics

Standard deviation0.03368953348
Coefficient of variation (CV)0.02305137233
Kurtosis0.04061952676
Mean1.461497953
Median Absolute Deviation (MAD)0.023568
Skewness0.1042602886
Sum53069.91368
Variance0.001134984666
MonotonicityNot monotonic
2024-08-10T10:44:03.166847image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.462963 741
 
2.0%
1.454545 740
 
2.0%
1.46128 733
 
2.0%
1.456229 729
 
2.0%
1.449495 726
 
2.0%
1.464646 725
 
2.0%
1.457912 719
 
2.0%
1.46633 716
 
2.0%
1.459596 704
 
1.9%
1.47138 700
 
1.9%
Other values (139) 29079
80.1%
ValueCountFrequency (%)
1.3367 1
< 0.1%
1.340067 1
< 0.1%
1.346801 1
< 0.1%
1.350168 2
< 0.1%
1.351852 2
< 0.1%
ValueCountFrequency (%)
1.723906 1
< 0.1%
1.653199 1
< 0.1%
1.604377 1
< 0.1%
1.599327 1
< 0.1%
1.589226 2
< 0.1%

FUUJDZI
Real number (ℝ)

Distinct36063
Distinct (%)99.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.5600937142
Minimum0.4250771511
Maximum0.6426503266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:03.651292image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.4250771511
5-th percentile0.5249541128
Q10.5486079865
median0.5613026579
Q30.5732444556
95-th percentile0.591705919
Maximum0.6426503266
Range0.2175731755
Interquartile range (IQR)0.02463646915

Descriptive statistics

Standard deviation0.02100171505
Coefficient of variation (CV)0.03749678761
Kurtosis2.504100535
Mean0.5600937142
Median Absolute Deviation (MAD)0.0122940976
Skewness-0.7359876076
Sum20338.12295
Variance0.0004410720348
MonotonicityNot monotonic
2024-08-10T10:44:04.121469image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5501803267 3
 
< 0.1%
0.5564767297 2
 
< 0.1%
0.5375221646 2
 
< 0.1%
0.56303158 2
 
< 0.1%
0.5795457836 2
 
< 0.1%
0.5627772809 2
 
< 0.1%
0.5476569658 2
 
< 0.1%
0.5500098675 2
 
< 0.1%
0.5642021939 2
 
< 0.1%
0.5601754404 2
 
< 0.1%
Other values (36053) 36291
99.9%
ValueCountFrequency (%)
0.4250771511 1
< 0.1%
0.4294310813 1
< 0.1%
0.4303071773 1
< 0.1%
0.4335254304 1
< 0.1%
0.4335717292 1
< 0.1%
ValueCountFrequency (%)
0.6426503266 1
< 0.1%
0.6422726218 1
< 0.1%
0.6421185186 1
< 0.1%
0.6410814136 1
< 0.1%
0.6398540681 1
< 0.1%

PJWUWBJ
Real number (ℝ)

Distinct1276
Distinct (%)3.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.3021924387
Minimum-1.497
Maximum0.298
Zeros11
Zeros (%)< 0.1%
Negative35642
Negative (%)98.1%
Memory size567.4 KiB
2024-08-10T10:44:04.551299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1.497
5-th percentile-0.58045
Q1-0.389
median-0.29
Q3-0.198
95-th percentile-0.06055
Maximum0.298
Range1.795
Interquartile range (IQR)0.191

Descriptive statistics

Standard deviation0.1656882093
Coefficient of variation (CV)-0.5482870783
Kurtosis3.494944392
Mean-0.3021924387
Median Absolute Deviation (MAD)0.095
Skewness-0.9805524002
Sum-10973.21183
Variance0.02745258269
MonotonicityNot monotonic
2024-08-10T10:44:05.096794image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.267 130
 
0.4%
-0.29 127
 
0.3%
-0.284 125
 
0.3%
-0.26 125
 
0.3%
-0.28 123
 
0.3%
-0.259 123
 
0.3%
-0.265 122
 
0.3%
-0.266 121
 
0.3%
-0.288 120
 
0.3%
-0.313 120
 
0.3%
Other values (1266) 35076
96.6%
ValueCountFrequency (%)
-1.497 1
< 0.1%
-1.453 1
< 0.1%
-1.444 1
< 0.1%
-1.411 2
< 0.1%
-1.389 1
< 0.1%
ValueCountFrequency (%)
0.298 1
< 0.1%
0.295 2
< 0.1%
0.288 1
< 0.1%
0.279 1
< 0.1%
0.27 1
< 0.1%

MKHZSRI
Real number (ℝ)

Distinct1265
Distinct (%)3.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.2996077268
Minimum-1.463
Maximum0.28
Zeros14
Zeros (%)< 0.1%
Negative35546
Negative (%)97.9%
Memory size567.4 KiB
2024-08-10T10:44:05.615617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1.463
5-th percentile-0.577
Q1-0.387
median-0.288
Q3-0.195
95-th percentile-0.056
Maximum0.28
Range1.743
Interquartile range (IQR)0.192

Descriptive statistics

Standard deviation0.1653651649
Coefficient of variation (CV)-0.5519389192
Kurtosis3.290112957
Mean-0.2996077268
Median Absolute Deviation (MAD)0.096
Skewness-0.9186142521
Sum-10879.35577
Variance0.02734563776
MonotonicityNot monotonic
2024-08-10T10:44:05.920989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.335 125
 
0.3%
-0.27 124
 
0.3%
-0.306 123
 
0.3%
-0.281 123
 
0.3%
-0.312 122
 
0.3%
-0.265 119
 
0.3%
-0.284 118
 
0.3%
-0.251 117
 
0.3%
-0.278 116
 
0.3%
-0.292 115
 
0.3%
Other values (1255) 35110
96.7%
ValueCountFrequency (%)
-1.463 1
< 0.1%
-1.455 1
< 0.1%
-1.413 1
< 0.1%
-1.412 1
< 0.1%
-1.395 1
< 0.1%
ValueCountFrequency (%)
0.28 1
< 0.1%
0.267 1
< 0.1%
0.259 1
< 0.1%
0.256 1
< 0.1%
0.255 1
< 0.1%

DYKRTXD
Real number (ℝ)

Distinct1244
Distinct (%)3.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.3005117491
Minimum-1.47
Maximum0.283
Zeros24
Zeros (%)0.1%
Negative35577
Negative (%)98.0%
Memory size567.4 KiB
2024-08-10T10:44:06.295310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1.47
5-th percentile-0.573
Q1-0.388
median-0.29
Q3-0.198
95-th percentile-0.059
Maximum0.283
Range1.753
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.1633588034
Coefficient of variation (CV)-0.543602052
Kurtosis3.200944331
Mean-0.3005117491
Median Absolute Deviation (MAD)0.095
Skewness-0.8846711972
Sum-10912.18263
Variance0.02668609866
MonotonicityNot monotonic
2024-08-10T10:44:06.623409image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.279 125
 
0.3%
-0.27 123
 
0.3%
-0.288 123
 
0.3%
-0.248 123
 
0.3%
-0.29 121
 
0.3%
-0.276 120
 
0.3%
-0.232 118
 
0.3%
-0.323 118
 
0.3%
-0.269 117
 
0.3%
-0.264 116
 
0.3%
Other values (1234) 35108
96.7%
ValueCountFrequency (%)
-1.47 1
< 0.1%
-1.422 2
< 0.1%
-1.411 1
< 0.1%
-1.406 1
< 0.1%
-1.396 1
< 0.1%
ValueCountFrequency (%)
0.283 1
< 0.1%
0.281 1
< 0.1%
0.277 1
< 0.1%
0.275 1
< 0.1%
0.269 1
< 0.1%

DBDLSUG
Real number (ℝ)

Distinct1267
Distinct (%)3.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-0.3202281933
Minimum-1.491
Maximum0.293
Zeros12
Zeros (%)< 0.1%
Negative35614
Negative (%)98.1%
Memory size567.4 KiB
2024-08-10T10:44:06.973519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1.491
5-th percentile-0.601
Q1-0.411
median-0.31
Q3-0.215
95-th percentile-0.06855
Maximum0.293
Range1.784
Interquartile range (IQR)0.196

Descriptive statistics

Standard deviation0.1677701817
Coefficient of variation (CV)-0.5239082167
Kurtosis2.737287334
Mean-0.3202281933
Median Absolute Deviation (MAD)0.098
Skewness-0.7592674874
Sum-11628.12615
Variance0.02814683386
MonotonicityNot monotonic
2024-08-10T10:44:07.314955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.288 130
 
0.4%
-0.292 128
 
0.4%
-0.286 122
 
0.3%
-0.337 121
 
0.3%
-0.325 119
 
0.3%
-0.283 119
 
0.3%
-0.303 118
 
0.3%
-0.267 118
 
0.3%
-0.307 112
 
0.3%
-0.357 112
 
0.3%
Other values (1257) 35113
96.7%
ValueCountFrequency (%)
-1.491 1
< 0.1%
-1.465 1
< 0.1%
-1.462 1
< 0.1%
-1.443 1
< 0.1%
-1.436 1
< 0.1%
ValueCountFrequency (%)
0.293 1
< 0.1%
0.272 1
< 0.1%
0.251 1
< 0.1%
0.244 1
< 0.1%
0.24 1
< 0.1%

LTCKGYN
Real number (ℝ)

Distinct4752
Distinct (%)13.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean800.8282295
Minimum576.9326
Maximum980.7583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:07.625512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum576.9326
5-th percentile724.86011
Q1768.9426
median799.7303
Q3831.9661
95-th percentile882.9139
Maximum980.7583
Range403.8257
Interquartile range (IQR)63.0235

Descriptive statistics

Standard deviation48.11771994
Coefficient of variation (CV)0.06008494478
Kurtosis0.3658599625
Mean800.8282295
Median Absolute Deviation (MAD)31.6436
Skewness0.03025459685
Sum29079674.67
Variance2315.314973
MonotonicityNot monotonic
2024-08-10T10:44:07.920247image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
808 143
 
0.4%
793.8417 54
 
0.1%
805.0778 53
 
0.1%
817.2761 53
 
0.1%
802.6296 51
 
0.1%
811.4113 50
 
0.1%
799.7003 48
 
0.1%
810.9222 48
 
0.1%
787.5443 48
 
0.1%
792.377 47
 
0.1%
Other values (4742) 35717
98.4%
ValueCountFrequency (%)
576.9326 1
< 0.1%
578.0534 1
< 0.1%
581.5262 1
< 0.1%
582.2281 1
< 0.1%
585.9096 1
< 0.1%
ValueCountFrequency (%)
980.7583 1
< 0.1%
975.1724 1
< 0.1%
968.4226 1
< 0.1%
966.3542 1
< 0.1%
964.324 1
< 0.1%

HHWCKEO
Real number (ℝ)

Distinct4733
Distinct (%)13.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.334713666
Minimum0.9615543
Maximum1.634597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:08.273442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.9615543
5-th percentile1.2081002
Q11.281571
median1.332884
Q31.38661
95-th percentile1.471523
Maximum1.634597
Range0.6730427
Interquartile range (IQR)0.105039

Descriptive statistics

Standard deviation0.08019619434
Coefficient of variation (CV)0.06008494283
Kurtosis0.3658597947
Mean1.334713666
Median Absolute Deviation (MAD)0.05274
Skewness0.03025453515
Sum48466.12265
Variance0.006431429586
MonotonicityNot monotonic
2024-08-10T10:44:08.595904image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.346667 143
 
0.4%
1.323069 54
 
0.1%
1.362127 53
 
0.1%
1.341796 53
 
0.1%
1.337716 51
 
0.1%
1.352352 51
 
0.1%
1.351537 48
 
0.1%
1.332834 48
 
0.1%
1.312574 48
 
0.1%
1.314158 47
 
0.1%
Other values (4723) 35716
98.4%
ValueCountFrequency (%)
0.9615543 1
< 0.1%
0.9634223 1
< 0.1%
0.9692104 1
< 0.1%
0.9703802 1
< 0.1%
0.9765159 1
< 0.1%
ValueCountFrequency (%)
1.634597 1
< 0.1%
1.625287 1
< 0.1%
1.614038 1
< 0.1%
1.61059 1
< 0.1%
1.607207 1
< 0.1%

INJPVHJ
Real number (ℝ)

Distinct4345
Distinct (%)12.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean716.6029151
Minimum518.3766
Maximum872.4058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:08.886153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum518.3766
5-th percentile649.186825
Q1688.188
median715.9493
Q3744.3779
95-th percentile789.4478
Maximum872.4058
Range354.0292
Interquartile range (IQR)56.1899

Descriptive statistics

Standard deviation42.81044538
Coefficient of variation (CV)0.05974081947
Kurtosis0.3192218746
Mean716.6029151
Median Absolute Deviation (MAD)28.132
Skewness0.02371577373
Sum26021285.05
Variance1832.734234
MonotonicityNot monotonic
2024-08-10T10:44:09.163106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
692.5714 82
 
0.2%
725.003 68
 
0.2%
748.0941 62
 
0.2%
701.5686 61
 
0.2%
710.3565 60
 
0.2%
748.5452 57
 
0.2%
711.566 54
 
0.1%
717.4105 54
 
0.1%
707.4272 53
 
0.1%
713.2858 53
 
0.1%
Other values (4335) 35708
98.3%
ValueCountFrequency (%)
518.3766 1
< 0.1%
520.3735 1
< 0.1%
520.5807 1
< 0.1%
523.7127 1
< 0.1%
524.5425 1
< 0.1%
ValueCountFrequency (%)
872.4058 1
< 0.1%
869.8142 1
< 0.1%
868.8434 1
< 0.1%
868.3203 1
< 0.1%
866.649 1
< 0.1%

LVMHJCI
Real number (ℝ)

Distinct4330
Distinct (%)11.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.194338154
Minimum0.863961
Maximum1.45401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:09.486985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.863961
5-th percentile1.08197815
Q11.14698
median1.193249
Q31.24063
95-th percentile1.315746
Maximum1.45401
Range0.590049
Interquartile range (IQR)0.09365

Descriptive statistics

Standard deviation0.07135073602
Coefficient of variation (CV)0.05974081612
Kurtosis0.3192222557
Mean1.194338154
Median Absolute Deviation (MAD)0.0468865
Skewness0.02371551937
Sum43368.80703
Variance0.00509092753
MonotonicityNot monotonic
2024-08-10T10:44:09.767346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.154286 82
 
0.2%
1.208338 68
 
0.2%
1.246823 62
 
0.2%
1.169281 61
 
0.2%
1.183927 60
 
0.2%
1.247575 57
 
0.2%
1.195684 54
 
0.1%
1.185943 54
 
0.1%
1.18881 53
 
0.1%
1.179045 53
 
0.1%
Other values (4320) 35708
98.3%
ValueCountFrequency (%)
0.863961 1
< 0.1%
0.8672892 1
< 0.1%
0.8676345 1
< 0.1%
0.8728545 1
< 0.1%
0.8742374 1
< 0.1%
ValueCountFrequency (%)
1.45401 1
< 0.1%
1.44969 1
< 0.1%
1.448072 1
< 0.1%
1.4472 1
< 0.1%
1.444415 1
< 0.1%

JMPVBOV
Real number (ℝ)

Distinct4001
Distinct (%)11.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean623.6693823
Minimum445.1346
Maximum760.7855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:10.057062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum445.1346
5-th percentile564.3329
Q1598.6812
median622.7932
Q3648.4493
95-th percentile687.1411
Maximum760.7855
Range315.6509
Interquartile range (IQR)49.7681

Descriptive statistics

Standard deviation37.56762262
Coefficient of variation (CV)0.06023643887
Kurtosis0.2967768474
Mean623.6693823
Median Absolute Deviation (MAD)24.8537
Skewness0.04210966155
Sum22646682.61
Variance1411.326269
MonotonicityNot monotonic
2024-08-10T10:44:10.352298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
606 100
 
0.3%
619.548 83
 
0.2%
648.8411 65
 
0.2%
631.2653 63
 
0.2%
618.0834 62
 
0.2%
600.5076 62
 
0.2%
623.8987 61
 
0.2%
653.1212 59
 
0.2%
637.1238 59
 
0.2%
625.4066 59
 
0.2%
Other values (3991) 35639
98.1%
ValueCountFrequency (%)
445.1346 1
< 0.1%
453.3042 1
< 0.1%
454.5916 1
< 0.1%
455.7823 1
< 0.1%
457.3309 1
< 0.1%
ValueCountFrequency (%)
760.7855 1
< 0.1%
759.4131 1
< 0.1%
758.9567 1
< 0.1%
754.8485 1
< 0.1%
754.1985 1
< 0.1%

SLHDFLB
Real number (ℝ)

Distinct3995
Distinct (%)11.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.03944893
Minimum0.7418909
Maximum1.267976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:10.679664image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.7418909
5-th percentile0.9405549
Q10.9978019
median1.037989
Q31.080749
95-th percentile1.145235
Maximum1.267976
Range0.5260851
Interquartile range (IQR)0.0829471

Descriptive statistics

Standard deviation0.0626127074
Coefficient of variation (CV)0.0602364441
Kurtosis0.2967766957
Mean1.03944893
Median Absolute Deviation (MAD)0.0414232
Skewness0.04210987269
Sum37744.46956
Variance0.003920351128
MonotonicityNot monotonic
2024-08-10T10:44:11.004688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.01 100
 
0.3%
1.03258 83
 
0.2%
1.081402 65
 
0.2%
1.052109 63
 
0.2%
1.030139 62
 
0.2%
1.000846 62
 
0.2%
1.039831 61
 
0.2%
1.042344 59
 
0.2%
1.061873 59
 
0.2%
1.088535 59
 
0.2%
Other values (3985) 35639
98.1%
ValueCountFrequency (%)
0.7418909 1
< 0.1%
0.755507 1
< 0.1%
0.7576527 1
< 0.1%
0.7596372 1
< 0.1%
0.7622182 1
< 0.1%
ValueCountFrequency (%)
1.267976 1
< 0.1%
1.265688 1
< 0.1%
1.264928 1
< 0.1%
1.258081 1
< 0.1%
1.256998 1
< 0.1%

CXQMCRY
Real number (ℝ)

Distinct3626
Distinct (%)10.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean524.1653985
Minimum351.5388
Maximum660.5583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:11.350776image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum351.5388
5-th percentile471.1314
Q1502.0724
median523.5136
Q3545.656
95-th percentile579.9395
Maximum660.5583
Range309.0195
Interquartile range (IQR)43.5836

Descriptive statistics

Standard deviation33.20862588
Coefficient of variation (CV)0.0633552424
Kurtosis0.2534391896
Mean524.1653985
Median Absolute Deviation (MAD)21.8133
Skewness0.05200946869
Sum19033493.95
Variance1102.812833
MonotonicityNot monotonic
2024-08-10T10:44:11.673072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
514.0931 76
 
0.2%
524.5425 75
 
0.2%
531.6689 71
 
0.2%
530.2042 70
 
0.2%
513.4725 69
 
0.2%
530.387 68
 
0.2%
522.881 68
 
0.2%
531.9904 68
 
0.2%
519.9517 67
 
0.2%
512.8535 66
 
0.2%
Other values (3616) 35614
98.1%
ValueCountFrequency (%)
351.5388 1
< 0.1%
366.7414 1
< 0.1%
380.35 1
< 0.1%
381.0399 1
< 0.1%
382.6594 1
< 0.1%
ValueCountFrequency (%)
660.5583 1
< 0.1%
654.6997 1
< 0.1%
654.5388 1
< 0.1%
652.954 1
< 0.1%
652.4466 1
< 0.1%

IFZDTPK
Real number (ℝ)

Distinct3638
Distinct (%)10.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.8736089605
Minimum0.585898
Maximum1.10093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:11.967278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.585898
5-th percentile0.785219
Q10.8367874
median0.8725227
Q30.9094266
95-th percentile0.9665657
Maximum1.10093
Range0.515032
Interquartile range (IQR)0.0726392

Descriptive statistics

Standard deviation0.05534770742
Coefficient of variation (CV)0.06335524235
Kurtosis0.2534390844
Mean0.8736089605
Median Absolute Deviation (MAD)0.0363554
Skewness0.05200948848
Sum31722.48857
Variance0.003063368716
MonotonicityNot monotonic
2024-08-10T10:44:12.274275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8568218 76
 
0.2%
0.8742374 75
 
0.2%
0.8861148 71
 
0.2%
0.8836737 70
 
0.2%
0.8557875 69
 
0.2%
0.8714682 68
 
0.2%
0.8839782 68
 
0.2%
0.8866506 68
 
0.2%
0.8665861 67
 
0.2%
0.8547558 66
 
0.2%
Other values (3628) 35614
98.1%
ValueCountFrequency (%)
0.585898 1
< 0.1%
0.6112357 1
< 0.1%
0.6339167 1
< 0.1%
0.6350665 1
< 0.1%
0.6377656 1
< 0.1%
ValueCountFrequency (%)
1.10093 1
< 0.1%
1.091166 1
< 0.1%
1.090898 1
< 0.1%
1.088257 1
< 0.1%
1.087411 1
< 0.1%

OETLBRB
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.0206622204
Minimum0
Maximum10.22785
Zeros35822
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:12.584534image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10.22785
Range10.22785
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1851017143
Coefficient of variation (CV)8.958461905
Kurtosis327.8712261
Mean0.0206622204
Median Absolute Deviation (MAD)0
Skewness12.56725761
Sum750.286547
Variance0.03426264463
MonotonicityNot monotonic
2024-08-10T10:44:12.887278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 35822
98.6%
1.464653 47
 
0.1%
1.461121 44
 
0.1%
1.462885 35
 
0.1%
1.460241 31
 
0.1%
1.459362 30
 
0.1%
1.465538 30
 
0.1%
1.463768 29
 
0.1%
1.462002 27
 
0.1%
1.457607 27
 
0.1%
Other values (38) 190
 
0.5%
ValueCountFrequency (%)
0 35822
98.6%
1.447164 1
 
< 0.1%
1.448029 1
 
< 0.1%
1.448894 1
 
< 0.1%
1.450628 2
 
< 0.1%
ValueCountFrequency (%)
10.22785 1
< 0.1%
2.943534 1
< 0.1%
2.938182 1
< 0.1%
2.929305 1
< 0.1%
2.927536 1
< 0.1%

BKAHOMJ
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.02142885536
Minimum0
Maximum7.310012
Zeros35797
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:13.189766image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7.310012
Range7.310012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1832857464
Coefficient of variation (CV)8.553221499
Kurtosis141.1981878
Mean0.02142885536
Median Absolute Deviation (MAD)0
Skewness9.862815397
Sum778.124596
Variance0.03359366484
MonotonicityNot monotonic
2024-08-10T10:44:13.477458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0 35797
98.6%
1.461121 47
 
0.1%
1.464653 41
 
0.1%
1.462002 40
 
0.1%
1.462885 38
 
0.1%
1.465538 38
 
0.1%
1.459362 36
 
0.1%
1.466425 30
 
0.1%
1.457607 28
 
0.1%
1.463768 23
 
0.1%
Other values (31) 194
 
0.5%
ValueCountFrequency (%)
0 35797
98.6%
1.447164 1
 
< 0.1%
1.449761 1
 
< 0.1%
1.451497 1
 
< 0.1%
1.452367 6
 
< 0.1%
ValueCountFrequency (%)
7.310012 1
< 0.1%
2.943534 2
< 0.1%
2.936402 1
< 0.1%
2.931076 2
< 0.1%
2.92577 1
< 0.1%

MICTQSV
Real number (ℝ)

Distinct390
Distinct (%)1.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.968722298
Minimum-11.54887676
Maximum28.35023403
Zeros0
Zeros (%)0.0%
Negative563
Negative (%)1.6%
Memory size567.4 KiB
2024-08-10T10:44:13.826956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-11.54887676
5-th percentile1.616239548
Q15.084276199
median8.080840111
Q310.74075699
95-th percentile14.78123665
Maximum28.35023403
Range39.89911079
Interquartile range (IQR)5.656480789

Descriptive statistics

Standard deviation4.038303997
Coefficient of variation (CV)0.5067693221
Kurtosis-0.2618450899
Mean7.968722298
Median Absolute Deviation (MAD)2.929210663
Skewness0.05480782791
Sum289320.4005
Variance16.30789917
MonotonicityNot monotonic
2024-08-10T10:44:14.146586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.767749786 547
 
1.5%
8.249282837 547
 
1.5%
8.451223373 532
 
1.5%
8.350253105 525
 
1.4%
5.084276199 512
 
1.4%
9.932637215 508
 
1.4%
8.552193642 501
 
1.4%
6.868839264 496
 
1.4%
9.831666946 480
 
1.3%
6.969690323 475
 
1.3%
Other values (380) 31184
85.9%
ValueCountFrequency (%)
-11.54887676 1
< 0.1%
-7.878780365 1
< 0.1%
-6.397247314 2
< 0.1%
-5.892276764 1
< 0.1%
-5.62286377 1
< 0.1%
ValueCountFrequency (%)
28.35023403 1
< 0.1%
27.27270126 1
< 0.1%
23.40054512 1
< 0.1%
23.29969406 1
< 0.1%
22.92919159 1
< 0.1%

FPGUGZC
Real number (ℝ)

Distinct363
Distinct (%)1.0%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean8.141383267
Minimum-12.25590706
Maximum26.66652203
Zeros2
Zeros (%)< 0.1%
Negative513
Negative (%)1.4%
Memory size567.4 KiB
2024-08-10T10:44:14.454978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-12.25590706
5-th percentile1.818180084
Q15.55562973
median7.946133614
Q311.01005077
95-th percentile14.47808743
Maximum26.66652203
Range38.92242908
Interquartile range (IQR)5.454421043

Descriptive statistics

Standard deviation3.916982725
Coefficient of variation (CV)0.48112005
Kurtosis-0.2770802526
Mean8.141383267
Median Absolute Deviation (MAD)2.895593643
Skewness0.04131570561
Sum295589.2023
Variance15.34275367
MonotonicityNot monotonic
2024-08-10T10:44:14.765359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.427666664 590
 
1.6%
9.2253685 585
 
1.6%
7.744073868 559
 
1.5%
7.542014122 559
 
1.5%
6.060600281 552
 
1.5%
7.6431036 550
 
1.5%
6.161689758 548
 
1.5%
5.959391594 543
 
1.5%
9.326577187 535
 
1.5%
7.845044136 531
 
1.5%
Other values (353) 30755
84.7%
ValueCountFrequency (%)
-12.25590706 1
< 0.1%
-6.700277328 1
< 0.1%
-5.421042442 1
< 0.1%
-5.218744278 1
< 0.1%
-4.814863205 1
< 0.1%
ValueCountFrequency (%)
26.66652203 1
< 0.1%
24.78122711 1
< 0.1%
22.89569378 1
< 0.1%
22.7946043 1
< 0.1%
22.69363403 1
< 0.1%

WPZPJYB
Real number (ℝ)

Distinct334
Distinct (%)0.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.733848077
Minimum-14.64641094
Maximum25.55561066
Zeros78
Zeros (%)0.2%
Negative455
Negative (%)1.3%
Memory size567.4 KiB
2024-08-10T10:44:15.086533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-14.64641094
5-th percentile1.683473587
Q15.151510239
median7.542014122
Q310.40410995
95-th percentile13.97311687
Maximum25.55561066
Range40.2020216
Interquartile range (IQR)5.252599716

Descriptive statistics

Standard deviation3.87719918
Coefficient of variation (CV)0.5013285937
Kurtosis-0.308189676
Mean7.733848077
Median Absolute Deviation (MAD)2.693533897
Skewness0.04759929379
Sum280792.8221
Variance15.03267348
MonotonicityNot monotonic
2024-08-10T10:44:15.400298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.037043571 643
 
1.8%
8.61954689 640
 
1.8%
8.720636368 618
 
1.7%
6.936073303 615
 
1.7%
5.353569984 610
 
1.7%
8.821606636 597
 
1.6%
6.834983826 595
 
1.6%
5.252599716 575
 
1.6%
8.518576622 570
 
1.6%
5.454540253 550
 
1.5%
Other values (324) 30294
83.4%
ValueCountFrequency (%)
-14.64641094 1
 
< 0.1%
-5.723953247 1
 
< 0.1%
-4.747390747 1
 
< 0.1%
-4.646420479 4
< 0.1%
-4.545450211 1
 
< 0.1%
ValueCountFrequency (%)
25.55561066 1
< 0.1%
25.45452118 1
< 0.1%
24.27601814 1
< 0.1%
23.87213707 1
< 0.1%
23.67007732 1
< 0.1%

EBRWJEU
Real number (ℝ)

Distinct311
Distinct (%)0.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean8.12683252
Minimum-43.4679985
Maximum26.53193474
Zeros76
Zeros (%)0.2%
Negative397
Negative (%)1.1%
Memory size567.4 KiB
2024-08-10T10:44:15.848354image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-43.4679985
5-th percentile1.885533333
Q15.252599716
median8.013367653
Q311.07752323
95-th percentile14.54544067
Maximum26.53193474
Range69.99993324
Interquartile range (IQR)5.824923515

Descriptive statistics

Standard deviation3.799449408
Coefficient of variation (CV)0.4675190979
Kurtosis0.5691167282
Mean8.12683252
Median Absolute Deviation (MAD)2.963066101
Skewness-0.02324362546
Sum295060.9083
Variance14.43581581
MonotonicityNot monotonic
2024-08-10T10:44:16.259180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.013367653 694
 
1.9%
7.912397385 654
 
1.8%
6.228923798 653
 
1.8%
9.494900703 650
 
1.8%
9.595870972 646
 
1.8%
9.696960449 630
 
1.7%
6.329894066 629
 
1.7%
7.811427116 620
 
1.7%
6.12783432 609
 
1.7%
11.27934456 596
 
1.6%
Other values (301) 29926
82.4%
ValueCountFrequency (%)
-43.4679985 1
< 0.1%
-7.037043571 1
< 0.1%
-5.757570267 1
< 0.1%
-5.05053997 1
< 0.1%
-4.949450493 1
< 0.1%
ValueCountFrequency (%)
26.53193474 1
< 0.1%
24.94943142 1
< 0.1%
23.06389809 1
< 0.1%
22.96292782 1
< 0.1%
21.98660374 1
< 0.1%

TBFLCFW
Real number (ℝ)

Distinct171
Distinct (%)0.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.671150274
Minimum1.52
Maximum1.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:16.640558image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.52
5-th percentile1.606
Q11.643
median1.67
Q31.699
95-th percentile1.737
Maximum1.86
Range0.34
Interquartile range (IQR)0.056

Descriptive statistics

Standard deviation0.0402236949
Coefficient of variation (CV)0.02406946612
Kurtosis-0.085072218
Mean1.671150274
Median Absolute Deviation (MAD)0.027
Skewness0.08808613768
Sum60674.453
Variance0.001617945632
MonotonicityNot monotonic
2024-08-10T10:44:17.091880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.67 624
 
1.7%
1.672 617
 
1.7%
1.665 610
 
1.7%
1.675 606
 
1.7%
1.658 595
 
1.6%
1.673 592
 
1.6%
1.668 585
 
1.6%
1.677 584
 
1.6%
1.678 581
 
1.6%
1.662 580
 
1.6%
Other values (161) 30333
83.5%
ValueCountFrequency (%)
1.52 1
 
< 0.1%
1.527 1
 
< 0.1%
1.532 1
 
< 0.1%
1.537 3
< 0.1%
1.542 1
 
< 0.1%
ValueCountFrequency (%)
1.86 1
< 0.1%
1.833 1
< 0.1%
1.827 1
< 0.1%
1.823 1
< 0.1%
1.82 1
< 0.1%

KUXSPYJ
Real number (ℝ)

Distinct163
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.604136695
Minimum1.465
Maximum1.796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:17.482088image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.465
5-th percentile1.544
Q11.577
median1.604
Q31.63
95-th percentile1.667
Maximum1.796
Range0.331
Interquartile range (IQR)0.053

Descriptive statistics

Standard deviation0.03781748091
Coefficient of variation (CV)0.02357497402
Kurtosis-0.07815357587
Mean1.604136695
Median Absolute Deviation (MAD)0.026
Skewness0.09405438112
Sum58241.391
Variance0.001430161863
MonotonicityNot monotonic
2024-08-10T10:44:17.931400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.603 690
 
1.9%
1.604 660
 
1.8%
1.614 640
 
1.8%
1.611 635
 
1.7%
1.606 634
 
1.7%
1.609 632
 
1.7%
1.601 629
 
1.7%
1.589 626
 
1.7%
1.596 621
 
1.7%
1.591 620
 
1.7%
Other values (153) 29920
82.4%
ValueCountFrequency (%)
1.465 2
< 0.1%
1.473 1
< 0.1%
1.48 1
< 0.1%
1.481 2
< 0.1%
1.483 2
< 0.1%
ValueCountFrequency (%)
1.796 1
< 0.1%
1.761 1
< 0.1%
1.749 1
< 0.1%
1.747 1
< 0.1%
1.746 1
< 0.1%

KKFJKFD
Real number (ℝ)

Distinct155
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.534566475
Minimum1.402
Maximum1.724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:18.474385image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.402
5-th percentile1.476
Q11.51
median1.534
Q31.559
95-th percentile1.594
Maximum1.724
Range0.322
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.03562388694
Coefficient of variation (CV)0.02321430028
Kurtosis-0.06167039171
Mean1.534566475
Median Absolute Deviation (MAD)0.024
Skewness0.0968515429
Sum55715.505
Variance0.001269061321
MonotonicityNot monotonic
2024-08-10T10:44:19.008214image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.535 710
 
2.0%
1.544 694
 
1.9%
1.534 692
 
1.9%
1.529 691
 
1.9%
1.537 683
 
1.9%
1.532 674
 
1.9%
1.54 666
 
1.8%
1.539 662
 
1.8%
1.52 660
 
1.8%
1.525 659
 
1.8%
Other values (145) 29516
81.3%
ValueCountFrequency (%)
1.402 1
< 0.1%
1.407 1
< 0.1%
1.412 1
< 0.1%
1.414 1
< 0.1%
1.419 2
< 0.1%
ValueCountFrequency (%)
1.724 1
< 0.1%
1.722 1
< 0.1%
1.684 1
< 0.1%
1.673 1
< 0.1%
1.67 1
< 0.1%

JZFIGSE
Real number (ℝ)

Distinct149
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.462100972
Minimum1.338
Maximum1.724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:19.561263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.338
5-th percentile1.407
Q11.439
median1.461
Q31.485
95-th percentile1.519
Maximum1.724
Range0.386
Interquartile range (IQR)0.046

Descriptive statistics

Standard deviation0.03373522794
Coefficient of variation (CV)0.02307311778
Kurtosis0.03848453163
Mean1.462100972
Median Absolute Deviation (MAD)0.023
Skewness0.1050836928
Sum53084.5
Variance0.001138065604
MonotonicityNot monotonic
2024-08-10T10:44:20.043535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.465 756
 
2.1%
1.455 741
 
2.0%
1.461 736
 
2.0%
1.468 727
 
2.0%
1.456 720
 
2.0%
1.463 712
 
2.0%
1.466 698
 
1.9%
1.46 698
 
1.9%
1.449 688
 
1.9%
1.453 682
 
1.9%
Other values (139) 29149
80.3%
ValueCountFrequency (%)
1.338 2
< 0.1%
1.345 1
 
< 0.1%
1.348 1
 
< 0.1%
1.35 1
 
< 0.1%
1.354 3
< 0.1%
ValueCountFrequency (%)
1.724 1
< 0.1%
1.652 1
< 0.1%
1.604 1
< 0.1%
1.601 1
< 0.1%
1.589 1
< 0.1%

BUVBEYO
Real number (ℝ)

Distinct105
Distinct (%)0.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.392314127
Minimum8.251
Maximum10.418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:20.615857image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum8.251
5-th percentile9.02
Q19.229
median9.387
Q39.544
95-th percentile9.771
Maximum10.418
Range2.167
Interquartile range (IQR)0.315

Descriptive statistics

Standard deviation0.2269094161
Coefficient of variation (CV)0.02415905314
Kurtosis0.05278268041
Mean9.392314127
Median Absolute Deviation (MAD)0.157
Skewness0.03103557583
Sum341006.749
Variance0.05148788312
MonotonicityNot monotonic
2024-08-10T10:44:20.976137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.422 1172
 
3.2%
9.474 1170
 
3.2%
9.387 1165
 
3.2%
9.457 1126
 
3.1%
9.492 1086
 
3.0%
9.439 1073
 
3.0%
9.404 1064
 
2.9%
9.352 1061
 
2.9%
9.299 1053
 
2.9%
9.369 1051
 
2.9%
Other values (95) 25286
69.6%
ValueCountFrequency (%)
8.251 1
< 0.1%
8.443 1
< 0.1%
8.495 1
< 0.1%
8.53 2
< 0.1%
8.548 1
< 0.1%
ValueCountFrequency (%)
10.418 1
< 0.1%
10.366 1
< 0.1%
10.313 1
< 0.1%
10.261 2
< 0.1%
10.243 1
< 0.1%

KYRXYOZ
Real number (ℝ)

Distinct102
Distinct (%)0.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean8.331398243
Minimum7.202
Maximum9.334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:21.295438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.202
5-th percentile7.971
Q18.181
median8.338
Q38.478
95-th percentile8.688
Maximum9.334
Range2.132
Interquartile range (IQR)0.297

Descriptive statistics

Standard deviation0.2194057024
Coefficient of variation (CV)0.02633479952
Kurtosis0.07370991878
Mean8.331398243
Median Absolute Deviation (MAD)0.14
Skewness0.02232781556
Sum302488.076
Variance0.04813886225
MonotonicityNot monotonic
2024-08-10T10:44:21.622649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.355 1313
 
3.6%
8.373 1268
 
3.5%
8.338 1245
 
3.4%
8.32 1206
 
3.3%
8.303 1205
 
3.3%
8.268 1172
 
3.2%
8.39 1074
 
3.0%
8.286 1059
 
2.9%
8.251 1059
 
2.9%
8.408 1057
 
2.9%
Other values (92) 24649
67.9%
ValueCountFrequency (%)
7.202 1
< 0.1%
7.464 2
< 0.1%
7.481 1
< 0.1%
7.499 2
< 0.1%
7.516 2
< 0.1%
ValueCountFrequency (%)
9.334 1
< 0.1%
9.299 1
< 0.1%
9.229 1
< 0.1%
9.177 1
< 0.1%
9.142 2
< 0.1%

KLTSLAM
Real number (ℝ)

Distinct36174
Distinct (%)99.6%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-5.047988675
Minimum-5.642683978
Maximum-4.251209049
Zeros0
Zeros (%)0.0%
Negative36307
Negative (%)> 99.9%
Memory size567.4 KiB
2024-08-10T10:44:21.901631image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-5.642683978
5-th percentile-5.198930661
Q1-5.106546244
median-5.046784956
Q3-4.986945298
95-th percentile-4.899896599
Maximum-4.251209049
Range1.391474929
Interquartile range (IQR)0.1196009466

Descriptive statistics

Standard deviation0.09213377955
Coefficient of variation (CV)-0.01825158206
Kurtosis0.8626573531
Mean-5.047988675
Median Absolute Deviation (MAD)0.05980754552
Skewness-0.1766032443
Sum-183277.3248
Variance0.008488633334
MonotonicityNot monotonic
2024-08-10T10:44:22.221995image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.006023506 6
 
< 0.1%
-5.070844781 4
 
< 0.1%
-5.026753592 3
 
< 0.1%
-5.011090047 2
 
< 0.1%
-5.062062281 2
 
< 0.1%
-5.109522031 2
 
< 0.1%
-5.11939504 2
 
< 0.1%
-5.106381308 2
 
< 0.1%
-5.139079202 2
 
< 0.1%
-5.035871216 2
 
< 0.1%
Other values (36164) 36280
99.9%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
-5.642683978 1
< 0.1%
-5.621315283 1
< 0.1%
-5.601264554 1
< 0.1%
-5.598291387 1
< 0.1%
-5.592331813 1
< 0.1%
ValueCountFrequency (%)
-4.251209049 1
< 0.1%
-4.604593196 1
< 0.1%
-4.631844493 1
< 0.1%
-4.700895355 1
< 0.1%
-4.70613514 1
< 0.1%

YPIWRTV
Real number (ℝ)

Distinct36157
Distinct (%)99.6%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-5.054663619
Minimum-5.634501048
Maximum-4.193013921
Zeros0
Zeros (%)0.0%
Negative36307
Negative (%)> 99.9%
Memory size567.4 KiB
2024-08-10T10:44:22.524717image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-5.634501048
5-th percentile-5.207614738
Q1-5.1139066
median-5.053607457
Q3-4.993555491
95-th percentile-4.904509274
Maximum-4.193013921
Range1.441487127
Interquartile range (IQR)0.120351109

Descriptive statistics

Standard deviation0.09278738143
Coefficient of variation (CV)-0.01835678661
Kurtosis0.8328059923
Mean-5.054663619
Median Absolute Deviation (MAD)0.06018748963
Skewness-0.1397702239
Sum-183519.672
Variance0.008609498152
MonotonicityNot monotonic
2024-08-10T10:44:22.810064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.070844781 3
 
< 0.1%
-5.149098156 3
 
< 0.1%
-5.11883361 3
 
< 0.1%
-5.099137681 3
 
< 0.1%
-5.008379321 2
 
< 0.1%
-4.972545734 2
 
< 0.1%
-5.087068736 2
 
< 0.1%
-5.006041384 2
 
< 0.1%
-5.022902745 2
 
< 0.1%
-5.119864258 2
 
< 0.1%
Other values (36147) 36283
99.9%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
-5.634501048 1
< 0.1%
-5.58928365 1
< 0.1%
-5.575358367 1
< 0.1%
-5.567552183 1
< 0.1%
-5.565450173 1
< 0.1%
ValueCountFrequency (%)
-4.193013921 1
< 0.1%
-4.638829976 1
< 0.1%
-4.676872206 1
< 0.1%
-4.705317874 1
< 0.1%
-4.707668869 1
< 0.1%

BMGPCSU
Real number (ℝ)

Distinct36062
Distinct (%)99.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-5.062112448
Minimum-5.649394948
Maximum-4.241638119
Zeros0
Zeros (%)0.0%
Negative36307
Negative (%)> 99.9%
Memory size567.4 KiB
2024-08-10T10:44:24.032056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-5.649394948
5-th percentile-5.215141024
Q1-5.121100762
median-5.061002141
Q3-5.000724221
95-th percentile-4.913724572
Maximum-4.241638119
Range1.407756829
Interquartile range (IQR)0.1203765404

Descriptive statistics

Standard deviation0.09254829145
Coefficient of variation (CV)-0.01828254358
Kurtosis0.7898822717
Mean-5.062112448
Median Absolute Deviation (MAD)0.06020358303
Skewness-0.1645221463
Sum-183790.1166
Variance0.008565186251
MonotonicityNot monotonic
2024-08-10T10:44:24.335105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-4.973246408 5
 
< 0.1%
-5.081554885 4
 
< 0.1%
-5.051499783 4
 
< 0.1%
-5.11883361 4
 
< 0.1%
-5.02639634 3
 
< 0.1%
-5.144455777 3
 
< 0.1%
-5.065762341 3
 
< 0.1%
-5.070844781 3
 
< 0.1%
-5.043490334 3
 
< 0.1%
-5.093059381 3
 
< 0.1%
Other values (36052) 36272
99.9%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
-5.649394948 1
< 0.1%
-5.644531626 1
< 0.1%
-5.601937257 1
< 0.1%
-5.560733821 1
< 0.1%
-5.559324902 1
< 0.1%
ValueCountFrequency (%)
-4.241638119 1
< 0.1%
-4.558639324 1
< 0.1%
-4.681546309 1
< 0.1%
-4.68197411 1
< 0.1%
-4.697414207 1
< 0.1%

WXCZODE
Real number (ℝ)

Distinct35994
Distinct (%)99.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-5.062347748
Minimum-5.688834341
Maximum-4.327652676
Zeros0
Zeros (%)0.0%
Negative36307
Negative (%)> 99.9%
Memory size567.4 KiB
2024-08-10T10:44:24.657349image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-5.688834341
5-th percentile-5.228423918
Q1-5.125451915
median-5.059662944
Q3-4.996121442
95-th percentile-4.90296823
Maximum-4.327652676
Range1.361181664
Interquartile range (IQR)0.1293304725

Descriptive statistics

Standard deviation0.0995003059
Coefficient of variation (CV)-0.01965497252
Kurtosis0.6248399158
Mean-5.062347748
Median Absolute Deviation (MAD)0.06455067998
Skewness-0.1973620402
Sum-183798.6597
Variance0.009900310874
MonotonicityNot monotonic
2024-08-10T10:44:24.983681image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.006023506 5
 
< 0.1%
-4.999412232 4
 
< 0.1%
-5.11883361 4
 
< 0.1%
-5.060849507 3
 
< 0.1%
-5.026066053 3
 
< 0.1%
-5.044443819 3
 
< 0.1%
-5.099137681 3
 
< 0.1%
-5.102263789 3
 
< 0.1%
-5.004712343 3
 
< 0.1%
-5.034501934 3
 
< 0.1%
Other values (35984) 36273
99.9%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
-5.688834341 1
< 0.1%
-5.685753184 1
< 0.1%
-5.644169896 1
< 0.1%
-5.638126744 1
< 0.1%
-5.616707165 1
< 0.1%
ValueCountFrequency (%)
-4.327652676 1
< 0.1%
-4.583037255 1
< 0.1%
-4.645275167 1
< 0.1%
-4.678115197 1
< 0.1%
-4.689360221 1
< 0.1%

QODSZMV
Real number (ℝ)

Distinct421
Distinct (%)1.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.429873248
Minimum1.125
Maximum1.695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:25.286652image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.125
5-th percentile1.32
Q11.382
median1.431
Q31.478
95-th percentile1.539
Maximum1.695
Range0.57
Interquartile range (IQR)0.096

Descriptive statistics

Standard deviation0.06710978226
Coefficient of variation (CV)0.04693407781
Kurtosis-0.338407114
Mean1.429873248
Median Absolute Deviation (MAD)0.048
Skewness-0.01258971516
Sum51914.408
Variance0.004503722875
MonotonicityNot monotonic
2024-08-10T10:44:25.590316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.423 239
 
0.7%
1.45 238
 
0.7%
1.435 222
 
0.6%
1.457 221
 
0.6%
1.434 215
 
0.6%
1.43 213
 
0.6%
1.432 212
 
0.6%
1.469 209
 
0.6%
1.453 208
 
0.6%
1.445 208
 
0.6%
Other values (411) 34122
94.0%
ValueCountFrequency (%)
1.125 1
< 0.1%
1.173 1
< 0.1%
1.175 1
< 0.1%
1.189 1
< 0.1%
1.199 2
< 0.1%
ValueCountFrequency (%)
1.695 1
< 0.1%
1.668 1
< 0.1%
1.662 1
< 0.1%
1.658 1
< 0.1%
1.646 1
< 0.1%

FLYIGDN
Real number (ℝ)

Distinct394
Distinct (%)1.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.278761313
Minimum0.986
Maximum1.512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:25.877519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.986
5-th percentile1.18
Q11.236
median1.279
Q31.321
95-th percentile1.377
Maximum1.512
Range0.526
Interquartile range (IQR)0.085

Descriptive statistics

Standard deviation0.06014769496
Coefficient of variation (CV)0.04703590446
Kurtosis-0.2852656239
Mean1.278761313
Median Absolute Deviation (MAD)0.043
Skewness-0.01562331335
Sum46427.987
Variance0.003617745209
MonotonicityNot monotonic
2024-08-10T10:44:26.214390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.301 256
 
0.7%
1.264 251
 
0.7%
1.287 244
 
0.7%
1.284 242
 
0.7%
1.267 241
 
0.7%
1.249 241
 
0.7%
1.296 239
 
0.7%
1.28 238
 
0.7%
1.293 237
 
0.7%
1.281 236
 
0.6%
Other values (384) 33882
93.3%
ValueCountFrequency (%)
0.986 1
< 0.1%
1.038 1
< 0.1%
1.056 1
< 0.1%
1.058 1
< 0.1%
1.064 1
< 0.1%
ValueCountFrequency (%)
1.512 1
< 0.1%
1.5 1
< 0.1%
1.492 1
< 0.1%
1.491 1
< 0.1%
1.486 1
< 0.1%

JIQIQWD
Real number (ℝ)

Distinct364
Distinct (%)1.0%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.113197841
Minimum0.857
Maximum1.321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:26.503520image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.857
5-th percentile1.025
Q11.075
median1.113
Q31.151
95-th percentile1.201
Maximum1.321
Range0.464
Interquartile range (IQR)0.076

Descriptive statistics

Standard deviation0.05382181017
Coefficient of variation (CV)0.04834882732
Kurtosis-0.2237481728
Mean1.113197841
Median Absolute Deviation (MAD)0.038
Skewness-0.002485569584
Sum40416.874
Variance0.00289678725
MonotonicityNot monotonic
2024-08-10T10:44:26.798118image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.102 288
 
0.8%
1.11 285
 
0.8%
1.117 276
 
0.8%
1.103 276
 
0.8%
1.122 271
 
0.7%
1.106 270
 
0.7%
1.119 267
 
0.7%
1.12 266
 
0.7%
1.125 265
 
0.7%
1.093 263
 
0.7%
Other values (354) 33580
92.5%
ValueCountFrequency (%)
0.857 1
< 0.1%
0.86 1
< 0.1%
0.897 1
< 0.1%
0.909 1
< 0.1%
0.912 1
< 0.1%
ValueCountFrequency (%)
1.321 1
< 0.1%
1.32 1
< 0.1%
1.315 1
< 0.1%
1.303 1
< 0.1%
1.302 2
< 0.1%

ZYMCRAL
Real number (ℝ)

Distinct330
Distinct (%)0.9%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9397905913
Minimum0.694
Maximum1.157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:27.088291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.694
5-th percentile0.861
Q10.907
median0.94
Q30.973
95-th percentile1.018
Maximum1.157
Range0.463
Interquartile range (IQR)0.066

Descriptive statistics

Standard deviation0.04796344623
Coefficient of variation (CV)0.05103631242
Kurtosis-0.1172746369
Mean0.9397905913
Median Absolute Deviation (MAD)0.033
Skewness-0.03585199846
Sum34120.977
Variance0.002300492174
MonotonicityNot monotonic
2024-08-10T10:44:27.404605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.93 316
 
0.9%
0.956 314
 
0.9%
0.933 311
 
0.9%
0.937 305
 
0.8%
0.939 299
 
0.8%
0.943 298
 
0.8%
0.938 297
 
0.8%
0.962 297
 
0.8%
0.935 296
 
0.8%
0.944 295
 
0.8%
Other values (320) 33279
91.6%
ValueCountFrequency (%)
0.694 1
< 0.1%
0.723 1
< 0.1%
0.739 1
< 0.1%
0.76 2
< 0.1%
0.763 1
< 0.1%
ValueCountFrequency (%)
1.157 1
< 0.1%
1.124 1
< 0.1%
1.117 1
< 0.1%
1.108 1
< 0.1%
1.106 1
< 0.1%

SHAHZCX
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.02268083477
Minimum0
Maximum8.766726
Zeros35761
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:27.691112image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8.766726
Range8.766726
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1893038085
Coefficient of variation (CV)8.346421566
Kurtosis189.7635556
Mean0.02268083477
Median Absolute Deviation (MAD)0
Skewness10.36357246
Sum823.473068
Variance0.0358359319
MonotonicityNot monotonic
2024-08-10T10:44:27.981974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 35761
98.5%
1.464653 54
 
0.1%
1.461121 44
 
0.1%
1.462885 36
 
0.1%
1.462002 34
 
0.1%
1.463768 32
 
0.1%
1.458484 31
 
0.1%
1.466425 30
 
0.1%
1.465538 30
 
0.1%
1.459362 29
 
0.1%
Other values (32) 226
 
0.6%
ValueCountFrequency (%)
0 35761
98.5%
1.448894 1
 
< 0.1%
1.449761 1
 
< 0.1%
1.451497 3
 
< 0.1%
1.452367 2
 
< 0.1%
ValueCountFrequency (%)
8.766726 1
< 0.1%
2.943534 1
< 0.1%
2.932849 1
< 0.1%
2.929305 2
< 0.1%
2.922242 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:28.216402image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.038001873
Min length3

Characters and Unicode

Total characters110322
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
prbs31 460
 
1.3%
2024-08-10T10:44:28.752455image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:28.983594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.038001873
Min length3

Characters and Unicode

Total characters110322
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
prbs31 460
 
1.3%
2024-08-10T10:44:29.497932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:29.722341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.025334582
Min length3

Characters and Unicode

Total characters109862
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
false 460
 
1.3%
2024-08-10T10:44:30.226808image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:30.477169image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.025334582
Min length3

Characters and Unicode

Total characters109862
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
false 460
 
1.3%
2024-08-10T10:44:31.214082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:31.581003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.025334582
Min length3

Characters and Unicode

Total characters109862
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
false 460
 
1.3%
2024-08-10T10:44:32.400870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:32.710794image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.050669163
Min length3

Characters and Unicode

Total characters110782
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
msb_lsb 460
 
1.3%
2024-08-10T10:44:33.553337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
64.7%
a 35854
32.4%
S 920
 
0.8%
B 920
 
0.8%
M 460
 
0.4%
_ 460
 
0.4%
L 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 110782
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
64.7%
a 35854
32.4%
S 920
 
0.8%
B 920
 
0.8%
M 460
 
0.4%
_ 460
 
0.4%
L 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 110782
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
64.7%
a 35854
32.4%
S 920
 
0.8%
B 920
 
0.8%
M 460
 
0.4%
_ 460
 
0.4%
L 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 110782
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
64.7%
a 35854
32.4%
S 920
 
0.8%
B 920
 
0.8%
M 460
 
0.4%
_ 460
 
0.4%
L 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:33.868431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.012667291
Min length3

Characters and Unicode

Total characters109402
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
true 460
 
1.3%
2024-08-10T10:44:34.712395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:35.081281image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.012667291
Min length3

Characters and Unicode

Total characters109402
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
true 460
 
1.3%
2024-08-10T10:44:35.917147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:36.144477image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.038001873
Min length3

Characters and Unicode

Total characters110322
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
prbs31 460
 
1.3%
2024-08-10T10:44:36.634200image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:36.863763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.038001873
Min length3

Characters and Unicode

Total characters110322
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
prbs31 460
 
1.3%
2024-08-10T10:44:37.354343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 110322
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.0%
a 35854
32.5%
P 460
 
0.4%
R 460
 
0.4%
B 460
 
0.4%
S 460
 
0.4%
3 460
 
0.4%
1 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:37.579424image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.025334582
Min length3

Characters and Unicode

Total characters109862
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
false 460
 
1.3%
2024-08-10T10:44:38.110205image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:38.334805image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.025334582
Min length3

Characters and Unicode

Total characters109862
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
false 460
 
1.3%
2024-08-10T10:44:38.869813image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:39.095017image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.025334582
Min length3

Characters and Unicode

Total characters109862
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
false 460
 
1.3%
2024-08-10T10:44:39.608779image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109862
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.3%
a 36314
33.1%
F 460
 
0.4%
l 460
 
0.4%
s 460
 
0.4%
e 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:39.857898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.050669163
Min length3

Characters and Unicode

Total characters110782
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
msb_lsb 460
 
1.3%
2024-08-10T10:44:40.393413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
64.7%
a 35854
32.4%
S 920
 
0.8%
B 920
 
0.8%
M 460
 
0.4%
_ 460
 
0.4%
L 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 110782
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
64.7%
a 35854
32.4%
S 920
 
0.8%
B 920
 
0.8%
M 460
 
0.4%
_ 460
 
0.4%
L 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 110782
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
64.7%
a 35854
32.4%
S 920
 
0.8%
B 920
 
0.8%
M 460
 
0.4%
_ 460
 
0.4%
L 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 110782
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
64.7%
a 35854
32.4%
S 920
 
0.8%
B 920
 
0.8%
M 460
 
0.4%
_ 460
 
0.4%
L 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:40.620717image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.012667291
Min length3

Characters and Unicode

Total characters109402
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
true 460
 
1.3%
2024-08-10T10:44:41.123041image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:41.350406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.012667291
Min length3

Characters and Unicode

Total characters109402
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownan
2nd rownan
3rd rownan
4th rownan
5th rownan
ValueCountFrequency (%)
nan 35854
98.7%
true 460
 
1.3%
2024-08-10T10:44:41.821637image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109402
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 71708
65.5%
a 35854
32.8%
T 460
 
0.4%
r 460
 
0.4%
u 460
 
0.4%
e 460
 
0.4%

AVSMOFQ
Real number (ℝ)

Distinct163
Distinct (%)0.5%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.772178808
Minimum1.633
Maximum1.956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:42.125115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.633
5-th percentile1.712
Q11.746
median1.773
Q31.798
95-th percentile1.833
Maximum1.956
Range0.323
Interquartile range (IQR)0.052

Descriptive statistics

Standard deviation0.03741408956
Coefficient of variation (CV)0.02111191568
Kurtosis-0.06017978474
Mean1.772178808
Median Absolute Deviation (MAD)0.026
Skewness0.08182988752
Sum63956.161
Variance0.001399814098
MonotonicityNot monotonic
2024-08-10T10:44:42.407195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.773 708
 
1.9%
1.766 672
 
1.9%
1.769 649
 
1.8%
1.786 638
 
1.8%
1.771 638
 
1.8%
1.763 637
 
1.8%
1.768 631
 
1.7%
1.761 630
 
1.7%
1.778 621
 
1.7%
1.785 618
 
1.7%
Other values (153) 29647
81.6%
ValueCountFrequency (%)
1.633 1
 
< 0.1%
1.643 1
 
< 0.1%
1.645 1
 
< 0.1%
1.648 1
 
< 0.1%
1.65 3
< 0.1%
ValueCountFrequency (%)
1.956 1
< 0.1%
1.923 1
< 0.1%
1.918 1
< 0.1%
1.912 1
< 0.1%
1.911 1
< 0.1%

CMSGVTL
Real number (ℝ)

Distinct161
Distinct (%)0.4%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.762896755
Minimum1.625
Maximum1.946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:42.704118image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.625
5-th percentile1.702
Q11.737
median1.763
Q31.788
95-th percentile1.825
Maximum1.946
Range0.321
Interquartile range (IQR)0.051

Descriptive statistics

Standard deviation0.03730708871
Coefficient of variation (CV)0.02116237868
Kurtosis-0.06541055438
Mean1.762896755
Median Absolute Deviation (MAD)0.026
Skewness0.08217566585
Sum63621.181
Variance0.001391818868
MonotonicityNot monotonic
2024-08-10T10:44:43.006416image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.763 676
 
1.9%
1.759 669
 
1.8%
1.756 669
 
1.8%
1.761 649
 
1.8%
1.769 647
 
1.8%
1.776 641
 
1.8%
1.764 639
 
1.8%
1.751 634
 
1.7%
1.758 627
 
1.7%
1.773 625
 
1.7%
Other values (151) 29613
81.5%
ValueCountFrequency (%)
1.625 1
 
< 0.1%
1.636 1
 
< 0.1%
1.64 2
< 0.1%
1.641 1
 
< 0.1%
1.643 3
< 0.1%
ValueCountFrequency (%)
1.946 1
< 0.1%
1.912 1
< 0.1%
1.904 1
< 0.1%
1.902 1
< 0.1%
1.901 2
< 0.1%

FXACWUA
Real number (ℝ)

Distinct161
Distinct (%)0.4%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.758363823
Minimum1.621
Maximum1.939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:43.316290image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.621
5-th percentile1.699
Q11.732
median1.758
Q31.785
95-th percentile1.82
Maximum1.939
Range0.318
Interquartile range (IQR)0.053

Descriptive statistics

Standard deviation0.0372093119
Coefficient of variation (CV)0.02116132703
Kurtosis-0.06890067516
Mean1.758363823
Median Absolute Deviation (MAD)0.026
Skewness0.08050743956
Sum63457.592
Variance0.001384532892
MonotonicityNot monotonic
2024-08-10T10:44:43.605250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.756 687
 
1.9%
1.759 679
 
1.9%
1.749 662
 
1.8%
1.751 659
 
1.8%
1.766 655
 
1.8%
1.763 641
 
1.8%
1.771 640
 
1.8%
1.758 633
 
1.7%
1.769 631
 
1.7%
1.753 629
 
1.7%
Other values (151) 29573
81.4%
ValueCountFrequency (%)
1.621 1
 
< 0.1%
1.631 1
 
< 0.1%
1.635 1
 
< 0.1%
1.636 2
< 0.1%
1.638 3
< 0.1%
ValueCountFrequency (%)
1.939 1
< 0.1%
1.906 1
< 0.1%
1.899 2
< 0.1%
1.897 2
< 0.1%
1.896 1
< 0.1%

IKMWIOV
Real number (ℝ)

Distinct56
Distinct (%)0.2%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean32.97359306
Minimum0
Maximum63
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:43.913151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q129
median32
Q337
95-th percentile45
Maximum63
Range63
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.480851513
Coefficient of variation (CV)0.1965467185
Kurtosis0.8626978393
Mean32.97359306
Median Absolute Deviation (MAD)4
Skewness0.5957738182
Sum1189984
Variance42.00143633
MonotonicityNot monotonic
2024-08-10T10:44:44.264423image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 3196
 
8.8%
29 2753
 
7.6%
33 2417
 
6.7%
30 2206
 
6.1%
32 2073
 
5.7%
35 1931
 
5.3%
27 1928
 
5.3%
28 1918
 
5.3%
37 1681
 
4.6%
34 1659
 
4.6%
Other values (46) 14327
39.5%
ValueCountFrequency (%)
0 3
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
11 4
< 0.1%
12 2
< 0.1%
ValueCountFrequency (%)
63 16
< 0.1%
62 8
< 0.1%
61 12
< 0.1%
60 13
< 0.1%
59 8
< 0.1%

LJWUXOV
Real number (ℝ)

Distinct58
Distinct (%)0.2%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean28.76314112
Minimum0
Maximum63
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:44.559407image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q125
median29
Q332
95-th percentile39
Maximum63
Range63
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.016767311
Coefficient of variation (CV)0.209183249
Kurtosis1.00094326
Mean28.76314112
Median Absolute Deviation (MAD)4
Skewness0.4295653122
Sum1038033
Variance36.20148887
MonotonicityNot monotonic
2024-08-10T10:44:44.841589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 2865
 
7.9%
27 2735
 
7.5%
28 2573
 
7.1%
30 2410
 
6.6%
31 2361
 
6.5%
25 2283
 
6.3%
26 2034
 
5.6%
32 2016
 
5.6%
23 1785
 
4.9%
24 1734
 
4.8%
Other values (48) 13293
36.6%
ValueCountFrequency (%)
0 3
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
7 4
< 0.1%
8 3
< 0.1%
ValueCountFrequency (%)
63 5
< 0.1%
60 2
 
< 0.1%
59 4
< 0.1%
58 1
 
< 0.1%
57 5
< 0.1%

YLHQTEA
Real number (ℝ)

Distinct54
Distinct (%)0.1%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean26.96370085
Minimum0
Maximum63
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:45.179893image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q123
median27
Q330
95-th percentile38
Maximum63
Range63
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.985426327
Coefficient of variation (CV)0.2219808905
Kurtosis0.6068266594
Mean26.96370085
Median Absolute Deviation (MAD)4
Skewness0.3532601472
Sum973093
Variance35.82532831
MonotonicityNot monotonic
2024-08-10T10:44:45.463217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 2869
 
7.9%
27 2827
 
7.8%
28 2504
 
6.9%
26 2435
 
6.7%
30 2378
 
6.5%
23 2341
 
6.4%
29 2243
 
6.2%
24 1971
 
5.4%
22 1750
 
4.8%
32 1686
 
4.6%
Other values (44) 13085
36.0%
ValueCountFrequency (%)
0 5
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 3
< 0.1%
ValueCountFrequency (%)
63 3
< 0.1%
60 1
 
< 0.1%
55 1
 
< 0.1%
54 2
< 0.1%
52 3
< 0.1%

UNFEABR
Real number (ℝ)

Distinct162
Distinct (%)0.4%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.659531325
Minimum1.522
Maximum1.842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:45.765308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.522
5-th percentile1.599
Q11.633
median1.66
Q31.685
95-th percentile1.721
Maximum1.842
Range0.32
Interquartile range (IQR)0.052

Descriptive statistics

Standard deviation0.03735220222
Coefficient of variation (CV)0.02250768132
Kurtosis-0.06405771097
Mean1.659531325
Median Absolute Deviation (MAD)0.025
Skewness0.07936365255
Sum59890.826
Variance0.001395187011
MonotonicityNot monotonic
2024-08-10T10:44:46.177497image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.657 698
 
1.9%
1.655 672
 
1.9%
1.66 663
 
1.8%
1.652 662
 
1.8%
1.662 646
 
1.8%
1.665 644
 
1.8%
1.658 640
 
1.8%
1.648 631
 
1.7%
1.668 630
 
1.7%
1.673 628
 
1.7%
Other values (152) 29575
81.4%
ValueCountFrequency (%)
1.522 1
< 0.1%
1.532 2
< 0.1%
1.534 1
< 0.1%
1.537 2
< 0.1%
1.539 1
< 0.1%
ValueCountFrequency (%)
1.842 1
 
< 0.1%
1.81 1
 
< 0.1%
1.801 1
 
< 0.1%
1.798 2
< 0.1%
1.796 3
< 0.1%

DMTXDGF
Real number (ℝ)

Distinct160
Distinct (%)0.4%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.660305606
Minimum1.522
Maximum1.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:46.672271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.522
5-th percentile1.601
Q11.635
median1.66
Q31.685
95-th percentile1.722
Maximum1.84
Range0.318
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03726990833
Coefficient of variation (CV)0.02244761941
Kurtosis-0.06785940101
Mean1.660305606
Median Absolute Deviation (MAD)0.025
Skewness0.0805670812
Sum59918.769
Variance0.001389046067
MonotonicityNot monotonic
2024-08-10T10:44:47.171843image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.658 693
 
1.9%
1.662 658
 
1.8%
1.652 652
 
1.8%
1.67 647
 
1.8%
1.673 646
 
1.8%
1.657 643
 
1.8%
1.667 643
 
1.8%
1.653 636
 
1.8%
1.66 632
 
1.7%
1.672 631
 
1.7%
Other values (150) 29608
81.5%
ValueCountFrequency (%)
1.522 1
< 0.1%
1.534 1
< 0.1%
1.535 2
< 0.1%
1.539 2
< 0.1%
1.54 2
< 0.1%
ValueCountFrequency (%)
1.84 1
 
< 0.1%
1.81 1
 
< 0.1%
1.801 1
 
< 0.1%
1.8 1
 
< 0.1%
1.798 3
< 0.1%

MRUWBZT
Real number (ℝ)

Distinct160
Distinct (%)0.4%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.661041786
Minimum1.524
Maximum1.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:47.697479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.524
5-th percentile1.601
Q11.635
median1.66
Q31.687
95-th percentile1.722
Maximum1.84
Range0.316
Interquartile range (IQR)0.052

Descriptive statistics

Standard deviation0.03723281413
Coefficient of variation (CV)0.02241533865
Kurtosis-0.06882188492
Mean1.661041786
Median Absolute Deviation (MAD)0.025
Skewness0.07959445416
Sum59945.337
Variance0.001386282448
MonotonicityNot monotonic
2024-08-10T10:44:48.174909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.66 683
 
1.9%
1.662 666
 
1.8%
1.67 664
 
1.8%
1.663 659
 
1.8%
1.652 655
 
1.8%
1.658 652
 
1.8%
1.657 641
 
1.8%
1.675 638
 
1.8%
1.648 637
 
1.8%
1.653 636
 
1.8%
Other values (150) 29558
81.4%
ValueCountFrequency (%)
1.524 1
< 0.1%
1.535 1
< 0.1%
1.537 2
< 0.1%
1.539 1
< 0.1%
1.54 1
< 0.1%
ValueCountFrequency (%)
1.84 1
< 0.1%
1.808 1
< 0.1%
1.801 2
< 0.1%
1.8 2
< 0.1%
1.798 1
< 0.1%

LNWVWPK
Real number (ℝ)

Distinct1526
Distinct (%)4.2%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean69.10762013
Minimum64.169
Maximum74.681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:48.639009image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum64.169
5-th percentile66.188
Q168.25
median69.433
Q370.187
95-th percentile71.047
Maximum74.681
Range10.512
Interquartile range (IQR)1.937

Descriptive statistics

Standard deviation1.476519598
Coefficient of variation (CV)0.0213655107
Kurtosis-0.1414192576
Mean69.10762013
Median Absolute Deviation (MAD)0.88
Skewness-0.6223951969
Sum2494024.903
Variance2.180110122
MonotonicityNot monotonic
2024-08-10T10:44:49.116385image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.688 317
 
0.9%
69.75 300
 
0.8%
69.625 296
 
0.8%
69.938 283
 
0.8%
69.438 281
 
0.8%
68.938 276
 
0.8%
70.125 271
 
0.7%
69.063 268
 
0.7%
69.813 268
 
0.7%
69.875 264
 
0.7%
Other values (1516) 33265
91.6%
ValueCountFrequency (%)
64.169 1
< 0.1%
64.813 1
< 0.1%
65 2
< 0.1%
65.002 1
< 0.1%
65.006 1
< 0.1%
ValueCountFrequency (%)
74.681 1
< 0.1%
74.617 1
< 0.1%
74.592 1
< 0.1%
74.279 1
< 0.1%
74.136 1
< 0.1%

PFFFNMW
Real number (ℝ)

Distinct1522
Distinct (%)4.2%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean69.05118945
Minimum64.302
Maximum74.549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:49.558055image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum64.302
5-th percentile66.188
Q168.129
median69.35
Q370.125
95-th percentile71
Maximum74.549
Range10.247
Interquartile range (IQR)1.996

Descriptive statistics

Standard deviation1.463532239
Coefficient of variation (CV)0.02119488817
Kurtosis-0.2180339962
Mean69.05118945
Median Absolute Deviation (MAD)0.916
Skewness-0.554732726
Sum2491988.376
Variance2.141926613
MonotonicityNot monotonic
2024-08-10T10:44:49.993512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.688 354
 
1.0%
69.438 283
 
0.8%
69.75 278
 
0.8%
69.188 269
 
0.7%
69.5 267
 
0.7%
70.125 263
 
0.7%
70 258
 
0.7%
69.625 256
 
0.7%
69.063 254
 
0.7%
69.875 253
 
0.7%
Other values (1512) 33354
91.8%
ValueCountFrequency (%)
64.302 1
 
< 0.1%
64.625 1
 
< 0.1%
64.75 1
 
< 0.1%
65 4
< 0.1%
65.018 1
 
< 0.1%
ValueCountFrequency (%)
74.549 2
< 0.1%
74.459 1
< 0.1%
74.305 1
< 0.1%
74.214 1
< 0.1%
74.091 1
< 0.1%

VEOALEL
Real number (ℝ)

Distinct1528
Distinct (%)4.2%
Missing225
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean69.01189845
Minimum64.302
Maximum74.549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:50.564871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum64.302
5-th percentile66.214
Q168.056
median69.3
Q370.078
95-th percentile70.984
Maximum74.549
Range10.247
Interquartile range (IQR)2.022

Descriptive statistics

Standard deviation1.457823471
Coefficient of variation (CV)0.0211242337
Kurtosis-0.2819021255
Mean69.01189845
Median Absolute Deviation (MAD)0.95
Skewness-0.4968789751
Sum2490570.403
Variance2.125249272
MonotonicityNot monotonic
2024-08-10T10:44:50.899591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.688 321
 
0.9%
69.75 277
 
0.8%
69.938 268
 
0.7%
69.625 263
 
0.7%
69.438 262
 
0.7%
70.125 260
 
0.7%
69.563 259
 
0.7%
69.188 250
 
0.7%
69.813 242
 
0.7%
69.5 242
 
0.7%
Other values (1518) 33445
92.1%
ValueCountFrequency (%)
64.302 1
 
< 0.1%
64.979 1
 
< 0.1%
65 3
< 0.1%
65.006 2
< 0.1%
65.018 2
< 0.1%
ValueCountFrequency (%)
74.549 1
< 0.1%
74.416 1
< 0.1%
74.347 1
< 0.1%
74.325 1
< 0.1%
74.173 1
< 0.1%

KNFIDTO
Real number (ℝ)

Distinct47
Distinct (%)0.1%
Missing328
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean21.53839249
Minimum0
Maximum22.78516
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:51.207867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.96875
Q121.30078
median21.53516
Q321.78125
95-th percentile22.04688
Maximum22.78516
Range22.78516
Interquartile range (IQR)0.48047

Descriptive statistics

Standard deviation0.3728533873
Coefficient of variation (CV)0.01731110562
Kurtosis312.9095135
Mean21.53839249
Median Absolute Deviation (MAD)0.23438
Skewness-6.058036339
Sum775080.5923
Variance0.1390196485
MonotonicityNot monotonic
2024-08-10T10:44:51.501854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
21.53516 5342
14.7%
21.65625 5141
14.2%
21.41406 4801
13.2%
21.78125 4366
12.0%
21.30078 3667
10.1%
21.91016 3121
8.6%
21.1875 2405
6.6%
22.04688 1893
 
5.2%
21.07813 1513
 
4.2%
22.18359 939
 
2.6%
Other values (37) 2798
7.7%
ValueCountFrequency (%)
0 1
 
< 0.1%
17.46094 1
 
< 0.1%
17.85547 3
< 0.1%
18.06641 2
< 0.1%
18.12109 1
 
< 0.1%
ValueCountFrequency (%)
22.78516 2
 
< 0.1%
22.625 18
 
< 0.1%
22.47266 122
 
0.3%
22.32422 372
 
1.0%
22.18359 939
2.6%
Distinct45
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:51.816208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length8
Median length5
Mean length6.226111142
Min length2

Characters and Unicode

Total characters226095
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row24.0
2nd row23.0
3rd row24.36719
4th row24.75
5th row23.61719
ValueCountFrequency (%)
24.61719 3699
 
10.2%
24.75 3524
 
9.7%
23.61719 2927
 
8.1%
24.5 2726
 
7.5%
24.0 2523
 
6.9%
24.36719 2431
 
6.7%
23.75 2236
 
6.2%
23.86719 2231
 
6.1%
24.25 2017
 
5.6%
24.86719 1884
 
5.2%
Other values (35) 10116
27.9%
2024-08-10T10:44:52.461190image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 40644
18.0%
. 35984
15.9%
1 30072
13.3%
7 24278
10.7%
4 20588
9.1%
9 17984
8.0%
5 15632
 
6.9%
3 15467
 
6.8%
6 15387
 
6.8%
8 4787
 
2.1%
Other values (3) 5272
 
2.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 226095
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 40644
18.0%
. 35984
15.9%
1 30072
13.3%
7 24278
10.7%
4 20588
9.1%
9 17984
8.0%
5 15632
 
6.9%
3 15467
 
6.8%
6 15387
 
6.8%
8 4787
 
2.1%
Other values (3) 5272
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 226095
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 40644
18.0%
. 35984
15.9%
1 30072
13.3%
7 24278
10.7%
4 20588
9.1%
9 17984
8.0%
5 15632
 
6.9%
3 15467
 
6.8%
6 15387
 
6.8%
8 4787
 
2.1%
Other values (3) 5272
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 226095
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 40644
18.0%
. 35984
15.9%
1 30072
13.3%
7 24278
10.7%
4 20588
9.1%
9 17984
8.0%
5 15632
 
6.9%
3 15467
 
6.8%
6 15387
 
6.8%
8 4787
 
2.1%
Other values (3) 5272
 
2.3%

IQOCYUU
Real number (ℝ)

SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing41
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.9988145453
Minimum0
Maximum1
Zeros43
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:52.730482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.03441049384
Coefficient of variation (CV)0.03445133434
Kurtosis838.6750933
Mean0.9988145453
Median Absolute Deviation (MAD)0
Skewness-28.99360017
Sum36230
Variance0.001184082087
MonotonicityNot monotonic
2024-08-10T10:44:52.943301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 36230
99.8%
0 43
 
0.1%
(Missing) 41
 
0.1%
ValueCountFrequency (%)
0 43
 
0.1%
1 36230
99.8%
ValueCountFrequency (%)
1 36230
99.8%
0 43
 
0.1%
Distinct108
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:53.370842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.948009032
Min length3

Characters and Unicode

Total characters179682
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)< 0.1%

Sample

1st row9.579
2nd row9.387
3rd row9.317
4th row9.055
5th row9.666
ValueCountFrequency (%)
9.387 1171
 
3.2%
9.474 1166
 
3.2%
9.369 1134
 
3.1%
9.299 1092
 
3.0%
9.439 1085
 
3.0%
9.422 1075
 
3.0%
9.352 1061
 
2.9%
9.457 1058
 
2.9%
9.404 1044
 
2.9%
9.282 1034
 
2.8%
Other values (98) 25394
69.9%
2024-08-10T10:44:54.123978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 47181
26.3%
. 36300
20.2%
2 17681
 
9.8%
4 17406
 
9.7%
7 13213
 
7.4%
5 9279
 
5.2%
1 9138
 
5.1%
3 8914
 
5.0%
6 8551
 
4.8%
8 6092
 
3.4%
Other values (3) 5927
 
3.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 179682
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 47181
26.3%
. 36300
20.2%
2 17681
 
9.8%
4 17406
 
9.7%
7 13213
 
7.4%
5 9279
 
5.2%
1 9138
 
5.1%
3 8914
 
5.0%
6 8551
 
4.8%
8 6092
 
3.4%
Other values (3) 5927
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 179682
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 47181
26.3%
. 36300
20.2%
2 17681
 
9.8%
4 17406
 
9.7%
7 13213
 
7.4%
5 9279
 
5.2%
1 9138
 
5.1%
3 8914
 
5.0%
6 8551
 
4.8%
8 6092
 
3.4%
Other values (3) 5927
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 179682
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 47181
26.3%
. 36300
20.2%
2 17681
 
9.8%
4 17406
 
9.7%
7 13213
 
7.4%
5 9279
 
5.2%
1 9138
 
5.1%
3 8914
 
5.0%
6 8551
 
4.8%
8 6092
 
3.4%
Other values (3) 5927
 
3.3%

NSERJIK
Real number (ℝ)

Distinct159
Distinct (%)0.4%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.762944665
Minimum1.626
Maximum1.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:54.456116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.626
5-th percentile1.702
Q11.737
median1.763
Q31.788
95-th percentile1.825
Maximum1.944
Range0.318
Interquartile range (IQR)0.051

Descriptive statistics

Standard deviation0.03731399183
Coefficient of variation (CV)0.02116571925
Kurtosis-0.06615703229
Mean1.762944665
Median Absolute Deviation (MAD)0.026
Skewness0.08002262086
Sum63432.512
Variance0.001392333986
MonotonicityNot monotonic
2024-08-10T10:44:54.750401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.759 676
 
1.9%
1.761 675
 
1.9%
1.764 666
 
1.8%
1.756 654
 
1.8%
1.758 653
 
1.8%
1.778 644
 
1.8%
1.751 637
 
1.8%
1.771 634
 
1.7%
1.754 631
 
1.7%
1.774 629
 
1.7%
Other values (149) 29482
81.2%
ValueCountFrequency (%)
1.626 1
 
< 0.1%
1.638 1
 
< 0.1%
1.64 2
< 0.1%
1.643 4
< 0.1%
1.645 2
< 0.1%
ValueCountFrequency (%)
1.944 1
 
< 0.1%
1.911 1
 
< 0.1%
1.907 1
 
< 0.1%
1.902 2
< 0.1%
1.899 3
< 0.1%
Distinct107
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:55.248034image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.921628022
Min length3

Characters and Unicode

Total characters178724
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)< 0.1%

Sample

1st row9.544
2nd row9.247
3rd row9.194
4th row9.037
5th row9.474
ValueCountFrequency (%)
9.422 1092
 
3.0%
9.387 1087
 
3.0%
9.299 1063
 
2.9%
9.247 1060
 
2.9%
9.334 1047
 
2.9%
9.369 1036
 
2.9%
9.439 1035
 
2.9%
9.352 1023
 
2.8%
9.212 1008
 
2.8%
9.474 1005
 
2.8%
Other values (97) 25858
71.2%
2024-08-10T10:44:56.039056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 46121
25.8%
. 35981
20.1%
2 17801
 
10.0%
4 16524
 
9.2%
7 13188
 
7.4%
1 9229
 
5.2%
5 9208
 
5.2%
3 8704
 
4.9%
6 7902
 
4.4%
8 6795
 
3.8%
Other values (3) 7271
 
4.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 178724
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
9 46121
25.8%
. 35981
20.1%
2 17801
 
10.0%
4 16524
 
9.2%
7 13188
 
7.4%
1 9229
 
5.2%
5 9208
 
5.2%
3 8704
 
4.9%
6 7902
 
4.4%
8 6795
 
3.8%
Other values (3) 7271
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 178724
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
9 46121
25.8%
. 35981
20.1%
2 17801
 
10.0%
4 16524
 
9.2%
7 13188
 
7.4%
1 9229
 
5.2%
5 9208
 
5.2%
3 8704
 
4.9%
6 7902
 
4.4%
8 6795
 
3.8%
Other values (3) 7271
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 178724
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
9 46121
25.8%
. 35981
20.1%
2 17801
 
10.0%
4 16524
 
9.2%
7 13188
 
7.4%
1 9229
 
5.2%
5 9208
 
5.2%
3 8704
 
4.9%
6 7902
 
4.4%
8 6795
 
3.8%
Other values (3) 7271
 
4.1%
Distinct162
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:56.656300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.835958583
Min length3

Characters and Unicode

Total characters175613
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)< 0.1%

Sample

1st row1.623
2nd row1.687
3rd row1.65
4th row1.623
5th row1.672
ValueCountFrequency (%)
1.66 687
 
1.9%
1.663 656
 
1.8%
1.65 644
 
1.8%
1.657 643
 
1.8%
1.655 642
 
1.8%
1.662 641
 
1.8%
1.658 639
 
1.8%
1.652 634
 
1.7%
1.673 629
 
1.7%
1.675 629
 
1.7%
Other values (152) 29870
82.3%
2024-08-10T10:44:57.531874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 41557
23.7%
. 35981
20.5%
6 35485
20.2%
7 12855
 
7.3%
5 10650
 
6.1%
8 7921
 
4.5%
3 7639
 
4.3%
2 7393
 
4.2%
4 6414
 
3.7%
9 5664
 
3.2%
Other values (3) 4054
 
2.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 175613
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 41557
23.7%
. 35981
20.5%
6 35485
20.2%
7 12855
 
7.3%
5 10650
 
6.1%
8 7921
 
4.5%
3 7639
 
4.3%
2 7393
 
4.2%
4 6414
 
3.7%
9 5664
 
3.2%
Other values (3) 4054
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 175613
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 41557
23.7%
. 35981
20.5%
6 35485
20.2%
7 12855
 
7.3%
5 10650
 
6.1%
8 7921
 
4.5%
3 7639
 
4.3%
2 7393
 
4.2%
4 6414
 
3.7%
9 5664
 
3.2%
Other values (3) 4054
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 175613
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 41557
23.7%
. 35981
20.5%
6 35485
20.2%
7 12855
 
7.3%
5 10650
 
6.1%
8 7921
 
4.5%
3 7639
 
4.3%
2 7393
 
4.2%
4 6414
 
3.7%
9 5664
 
3.2%
Other values (3) 4054
 
2.3%
Distinct4191
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:58.072875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.815305392
Min length3

Characters and Unicode

Total characters283805
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1117 ?
Unique (%)3.1%

Sample

1st row621.0127
2nd row561.3011
3rd row591.7541
4th row616.9915
5th row600.1591
ValueCountFrequency (%)
nan 332
 
0.9%
606.0 111
 
0.3%
566.8206 63
 
0.2%
560.9619 59
 
0.2%
596.1136 58
 
0.2%
584.3964 56
 
0.2%
601.9722 53
 
0.1%
578.5378 53
 
0.1%
555.1033 52
 
0.1%
606.3661 52
 
0.1%
Other values (4181) 35425
97.6%
2024-08-10T10:44:58.851851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 43143
15.2%
. 35982
12.7%
6 33444
11.8%
9 22411
7.9%
4 22126
7.8%
7 21963
7.7%
3 21706
7.6%
1 21689
7.6%
2 21491
7.6%
8 21227
7.5%
Other values (3) 18623
6.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 283805
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 43143
15.2%
. 35982
12.7%
6 33444
11.8%
9 22411
7.9%
4 22126
7.8%
7 21963
7.7%
3 21706
7.6%
1 21689
7.6%
2 21491
7.6%
8 21227
7.5%
Other values (3) 18623
6.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 283805
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 43143
15.2%
. 35982
12.7%
6 33444
11.8%
9 22411
7.9%
4 22126
7.8%
7 21963
7.7%
3 21706
7.6%
1 21689
7.6%
2 21491
7.6%
8 21227
7.5%
Other values (3) 18623
6.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 283805
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 43143
15.2%
. 35982
12.7%
6 33444
11.8%
9 22411
7.9%
4 22126
7.8%
7 21963
7.7%
3 21706
7.6%
1 21689
7.6%
2 21491
7.6%
8 21227
7.5%
Other values (3) 18623
6.6%

AIKOJYC
Real number (ℝ)

SKEWED 

Distinct35984
Distinct (%)100.0%
Missing330
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean5.323793961 × 10-7
Minimum1.784170471 × 10-9
Maximum0.001323537295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:59.190809image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.784170471 × 10-9
5-th percentile1.469640208 × 10-8
Q13.778804427 × 10-8
median7.523841324 × 10-8
Q31.59785385 × 10-7
95-th percentile7.272167824 × 10-7
Maximum0.001323537295
Range0.001323535511
Interquartile range (IQR)1.219973407 × 10-7

Descriptive statistics

Standard deviation1.423403741 × 10-5
Coefficient of variation (CV)26.73664217
Kurtosis4726.458672
Mean5.323793961 × 10-7
Median Absolute Deviation (MAD)4.626875492 × 10-8
Skewness64.02692795
Sum0.01915714019
Variance2.02607821 × 10-10
MonotonicityNot monotonic
2024-08-10T10:44:59.510621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.166235847 × 10-81
 
< 0.1%
1.043053022 × 10-71
 
< 0.1%
1.142906508 × 10-81
 
< 0.1%
6.005767717 × 10-91
 
< 0.1%
3.837267203 × 10-81
 
< 0.1%
1.11772894 × 10-71
 
< 0.1%
3.905883265 × 10-81
 
< 0.1%
9.084505977 × 10-81
 
< 0.1%
1.302831791 × 10-71
 
< 0.1%
3.470420452 × 10-71
 
< 0.1%
Other values (35974) 35974
99.1%
(Missing) 330
 
0.9%
ValueCountFrequency (%)
1.784170471 × 10-91
< 0.1%
2.036461952 × 10-91
< 0.1%
2.152743091 × 10-91
< 0.1%
2.163946845 × 10-91
< 0.1%
2.426006338 × 10-91
< 0.1%
ValueCountFrequency (%)
0.001323537295 1
< 0.1%
0.001092287042 1
< 0.1%
0.001017121479 1
< 0.1%
0.0009471575757 1
< 0.1%
0.0007394140054 1
< 0.1%

NYWUAUO
Real number (ℝ)

SKEWED 

Distinct35984
Distinct (%)100.0%
Missing330
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean7.624552283 × 10-7
Minimum2.4786302 × 10-9
Maximum0.002644782481
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:44:59.818566image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.4786302 × 10-9
5-th percentile2.121137317 × 10-8
Q15.435764809 × 10-8
median1.067506515 × 10-7
Q32.196966323 × 10-7
95-th percentile9.131337992 × 10-7
Maximum0.002644782481
Range0.002644780003
Interquartile range (IQR)1.653389842 × 10-7

Descriptive statistics

Standard deviation2.330934257 × 10-5
Coefficient of variation (CV)30.57142466
Kurtosis6525.052419
Mean7.624552283 × 10-7
Median Absolute Deviation (MAD)6.439165535 × 10-8
Skewness73.85754508
Sum0.02743618894
Variance5.43325451 × 10-10
MonotonicityNot monotonic
2024-08-10T10:45:00.129495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.23360957 × 10-81
 
< 0.1%
1.498821005 × 10-71
 
< 0.1%
1.69347302 × 10-81
 
< 0.1%
9.096365207 × 10-91
 
< 0.1%
5.584871577 × 10-81
 
< 0.1%
1.737257143 × 10-71
 
< 0.1%
5.786901878 × 10-81
 
< 0.1%
1.23954422 × 10-71
 
< 0.1%
2.039083228 × 10-71
 
< 0.1%
4.910509435 × 10-71
 
< 0.1%
Other values (35974) 35974
99.1%
(Missing) 330
 
0.9%
ValueCountFrequency (%)
2.4786302 × 10-91
< 0.1%
2.611227554 × 10-91
< 0.1%
2.863757752 × 10-91
< 0.1%
3.27697435 × 10-91
< 0.1%
3.474786789 × 10-91
< 0.1%
ValueCountFrequency (%)
0.002644782481 1
< 0.1%
0.001534689965 1
< 0.1%
0.00147997922 1
< 0.1%
0.001450834562 1
< 0.1%
0.001334579059 1
< 0.1%

KPQSPBC
Real number (ℝ)

SKEWED 

Distinct35984
Distinct (%)100.0%
Missing330
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.023035639 × 10-7
Minimum1.044191179 × 10-9
Maximum0.000704594863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:00.417439image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.044191179 × 10-9
5-th percentile7.555419689 × 10-9
Q12.015309817 × 10-8
median4.1644004 × 10-8
Q39.826110898 × 10-8
95-th percentile5.286349743 × 10-7
Maximum0.000704594863
Range0.0007045938188
Interquartile range (IQR)7.810801081 × 10-8

Descriptive statistics

Standard deviation7.746475349 × 10-6
Coefficient of variation (CV)25.62482311
Kurtosis5002.212215
Mean3.023035639 × 10-7
Median Absolute Deviation (MAD)2.715717597 × 10-8
Skewness66.59719641
Sum0.01087809144
Variance6.000788033 × 10-11
MonotonicityNot monotonic
2024-08-10T10:45:00.777694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.098862125 × 10-81
 
< 0.1%
5.872850377 × 10-81
 
< 0.1%
5.923399959 × 10-91
 
< 0.1%
2.915170227 × 10-91
 
< 0.1%
2.089662828 × 10-81
 
< 0.1%
4.982007367 × 10-81
 
< 0.1%
2.024864653 × 10-81
 
< 0.1%
5.77356975 × 10-81
 
< 0.1%
5.665803541 × 10-81
 
< 0.1%
2.030331468 × 10-71
 
< 0.1%
Other values (35974) 35974
99.1%
(Missing) 330
 
0.9%
ValueCountFrequency (%)
1.044191179 × 10-91
< 0.1%
1.05091934 × 10-91
< 0.1%
1.089710743 × 10-91
< 0.1%
1.295357689 × 10-91
< 0.1%
1.306452918 × 10-91
< 0.1%
ValueCountFrequency (%)
0.000704594863 1
< 0.1%
0.0006595000704 1
< 0.1%
0.0005597360921 1
< 0.1%
0.0004995529923 1
< 0.1%
0.000331498887 1
< 0.1%

AKUNFFN
Real number (ℝ)

Distinct35154
Distinct (%)97.7%
Missing330
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.740904757 × 1012
Minimum1.623411744 × 1012
Maximum2.053700319 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:01.254627image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.623411744 × 1012
5-th percentile1.623953676 × 1012
Q11.624172748 × 1012
median1.624402603 × 1012
Q32.048989742 × 1012
95-th percentile2.049545907 × 1012
Maximum2.053700319 × 1012
Range4.302885748 × 1011
Interquartile range (IQR)4.248169937 × 1011

Descriptive statistics

Standard deviation1.89548824 × 1011
Coefficient of variation (CV)0.1088794911
Kurtosis-0.9730275243
Mean1.740904757 × 1012
Median Absolute Deviation (MAD)341270208
Skewness1.013389572
Sum6.264471678 × 1016
Variance3.592875666 × 1022
MonotonicityNot monotonic
2024-08-10T10:45:01.737903image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.624229912 × 10123
 
< 0.1%
1.624250307 × 10123
 
< 0.1%
2.049092533 × 10123
 
< 0.1%
1.624162238 × 10123
 
< 0.1%
1.624293756 × 10123
 
< 0.1%
1.624258048 × 10123
 
< 0.1%
1.624242832 × 10123
 
< 0.1%
1.624231636 × 10123
 
< 0.1%
1.624300224 × 10123
 
< 0.1%
1.624017407 × 10123
 
< 0.1%
Other values (35144) 35954
99.0%
(Missing) 330
 
0.9%
ValueCountFrequency (%)
1.623411744 × 10121
< 0.1%
1.623426593 × 10121
< 0.1%
1.623437785 × 10121
< 0.1%
1.623438697 × 10121
< 0.1%
1.623442306 × 10121
< 0.1%
ValueCountFrequency (%)
2.053700319 × 10121
< 0.1%
2.053568834 × 10121
< 0.1%
2.05353766 × 10121
< 0.1%
2.053461634 × 10121
< 0.1%
2.053394262 × 10121
< 0.1%
Distinct34773
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:02.483293image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length12
Median length8
Mean length7.763837638
Min length3

Characters and Unicode

Total characters281936
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33599 ?
Unique (%)92.5%

Sample

1st row52527.0
2nd row124287.0
3rd row447627.0
4th row110541.0
5th row389810.0
ValueCountFrequency (%)
nan 330
 
0.9%
67771.0 3
 
< 0.1%
103999.0 3
 
< 0.1%
79656.0 3
 
< 0.1%
92238.0 3
 
< 0.1%
50902.0 3
 
< 0.1%
30925.0 3
 
< 0.1%
79454.0 3
 
< 0.1%
95809.0 3
 
< 0.1%
44588.0 3
 
< 0.1%
Other values (34763) 35957
99.0%
2024-08-10T10:45:04.941989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53826
19.1%
. 35765
12.7%
1 29331
10.4%
2 24399
8.7%
3 21947
7.8%
4 20729
 
7.4%
5 19634
 
7.0%
6 19319
 
6.9%
7 19055
 
6.8%
8 18659
 
6.6%
Other values (3) 19272
 
6.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 281936
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 53826
19.1%
. 35765
12.7%
1 29331
10.4%
2 24399
8.7%
3 21947
7.8%
4 20729
 
7.4%
5 19634
 
7.0%
6 19319
 
6.9%
7 19055
 
6.8%
8 18659
 
6.6%
Other values (3) 19272
 
6.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 281936
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 53826
19.1%
. 35765
12.7%
1 29331
10.4%
2 24399
8.7%
3 21947
7.8%
4 20729
 
7.4%
5 19634
 
7.0%
6 19319
 
6.9%
7 19055
 
6.8%
8 18659
 
6.6%
Other values (3) 19272
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 281936
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 53826
19.1%
. 35765
12.7%
1 29331
10.4%
2 24399
8.7%
3 21947
7.8%
4 20729
 
7.4%
5 19634
 
7.0%
6 19319
 
6.9%
7 19055
 
6.8%
8 18659
 
6.6%
Other values (3) 19272
 
6.8%
Distinct33158
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:05.627860image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length12
Median length7
Mean length7.363248334
Min length3

Characters and Unicode

Total characters267389
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30575 ?
Unique (%)84.2%

Sample

1st row17850.0
2nd row50184.0
3rd row88687.0
4th row51685.0
5th row208723.0
ValueCountFrequency (%)
nan 330
 
0.9%
42417.0 4
 
< 0.1%
21535.0 4
 
< 0.1%
52661.0 4
 
< 0.1%
36142.0 4
 
< 0.1%
15019.0 4
 
< 0.1%
9956.0 4
 
< 0.1%
32995.0 4
 
< 0.1%
40577.0 4
 
< 0.1%
31113.0 4
 
< 0.1%
Other values (33148) 35948
99.0%
2024-08-10T10:45:06.432971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52492
19.6%
. 35765
13.4%
1 26703
10.0%
2 22345
8.4%
3 21030
7.9%
4 19471
 
7.3%
5 18584
 
7.0%
6 18133
 
6.8%
7 17842
 
6.7%
8 17384
 
6.5%
Other values (3) 17640
 
6.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 267389
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 52492
19.6%
. 35765
13.4%
1 26703
10.0%
2 22345
8.4%
3 21030
7.9%
4 19471
 
7.3%
5 18584
 
7.0%
6 18133
 
6.8%
7 17842
 
6.7%
8 17384
 
6.5%
Other values (3) 17640
 
6.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 267389
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 52492
19.6%
. 35765
13.4%
1 26703
10.0%
2 22345
8.4%
3 21030
7.9%
4 19471
 
7.3%
5 18584
 
7.0%
6 18133
 
6.8%
7 17842
 
6.7%
8 17384
 
6.5%
Other values (3) 17640
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 267389
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 52492
19.6%
. 35765
13.4%
1 26703
10.0%
2 22345
8.4%
3 21030
7.9%
4 19471
 
7.3%
5 18584
 
7.0%
6 18133
 
6.8%
7 17842
 
6.7%
8 17384
 
6.5%
Other values (3) 17640
 
6.6%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:06.714452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.981825191
Min length3

Characters and Unicode

Total characters180910
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFalse
2nd rowFalse
3rd rowFalse
4th rowFalse
5th rowFalse
ValueCountFrequency (%)
false 35984
99.1%
nan 330
 
0.9%
2024-08-10T10:45:07.258328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 36225
20.0%
F 35984
19.9%
l 35895
19.8%
s 35895
19.8%
e 35895
19.8%
n 660
 
0.4%
A 89
 
< 0.1%
L 89
 
< 0.1%
S 89
 
< 0.1%
E 89
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 180910
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 36225
20.0%
F 35984
19.9%
l 35895
19.8%
s 35895
19.8%
e 35895
19.8%
n 660
 
0.4%
A 89
 
< 0.1%
L 89
 
< 0.1%
S 89
 
< 0.1%
E 89
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 180910
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 36225
20.0%
F 35984
19.9%
l 35895
19.8%
s 35895
19.8%
e 35895
19.8%
n 660
 
0.4%
A 89
 
< 0.1%
L 89
 
< 0.1%
S 89
 
< 0.1%
E 89
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 180910
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 36225
20.0%
F 35984
19.9%
l 35895
19.8%
s 35895
19.8%
e 35895
19.8%
n 660
 
0.4%
A 89
 
< 0.1%
L 89
 
< 0.1%
S 89
 
< 0.1%
E 89
 
< 0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:07.502093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.981825191
Min length3

Characters and Unicode

Total characters180910
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFalse
2nd rowFalse
3rd rowFalse
4th rowFalse
5th rowFalse
ValueCountFrequency (%)
false 35984
99.1%
nan 330
 
0.9%
2024-08-10T10:45:08.026377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 36225
20.0%
F 35984
19.9%
l 35895
19.8%
s 35895
19.8%
e 35895
19.8%
n 660
 
0.4%
A 89
 
< 0.1%
L 89
 
< 0.1%
S 89
 
< 0.1%
E 89
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 180910
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 36225
20.0%
F 35984
19.9%
l 35895
19.8%
s 35895
19.8%
e 35895
19.8%
n 660
 
0.4%
A 89
 
< 0.1%
L 89
 
< 0.1%
S 89
 
< 0.1%
E 89
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 180910
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 36225
20.0%
F 35984
19.9%
l 35895
19.8%
s 35895
19.8%
e 35895
19.8%
n 660
 
0.4%
A 89
 
< 0.1%
L 89
 
< 0.1%
S 89
 
< 0.1%
E 89
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 180910
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 36225
20.0%
F 35984
19.9%
l 35895
19.8%
s 35895
19.8%
e 35895
19.8%
n 660
 
0.4%
A 89
 
< 0.1%
L 89
 
< 0.1%
S 89
 
< 0.1%
E 89
 
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:08.287095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.972737787
Min length3

Characters and Unicode

Total characters216894
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPRBS31
2nd rowPRBS31
3rd rowPRBS31
4th rowPRBS31
5th rowPRBS31
ValueCountFrequency (%)
prbs31 35984
99.1%
nan 330
 
0.9%
2024-08-10T10:45:08.796770image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 35984
16.6%
R 35984
16.6%
B 35984
16.6%
S 35984
16.6%
3 35984
16.6%
1 35984
16.6%
n 660
 
0.3%
a 330
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 216894
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
P 35984
16.6%
R 35984
16.6%
B 35984
16.6%
S 35984
16.6%
3 35984
16.6%
1 35984
16.6%
n 660
 
0.3%
a 330
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 216894
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
P 35984
16.6%
R 35984
16.6%
B 35984
16.6%
S 35984
16.6%
3 35984
16.6%
1 35984
16.6%
n 660
 
0.3%
a 330
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 216894
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
P 35984
16.6%
R 35984
16.6%
B 35984
16.6%
S 35984
16.6%
3 35984
16.6%
1 35984
16.6%
n 660
 
0.3%
a 330
 
0.2%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:09.048220image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.972737787
Min length3

Characters and Unicode

Total characters216894
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPRBS31
2nd rowPRBS31
3rd rowPRBS31
4th rowPRBS31
5th rowPRBS31
ValueCountFrequency (%)
prbs31 35984
99.1%
nan 330
 
0.9%
2024-08-10T10:45:09.596350image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 35984
16.6%
R 35984
16.6%
B 35984
16.6%
S 35984
16.6%
3 35984
16.6%
1 35984
16.6%
n 660
 
0.3%
a 330
 
0.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 216894
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
P 35984
16.6%
R 35984
16.6%
B 35984
16.6%
S 35984
16.6%
3 35984
16.6%
1 35984
16.6%
n 660
 
0.3%
a 330
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 216894
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
P 35984
16.6%
R 35984
16.6%
B 35984
16.6%
S 35984
16.6%
3 35984
16.6%
1 35984
16.6%
n 660
 
0.3%
a 330
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 216894
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
P 35984
16.6%
R 35984
16.6%
B 35984
16.6%
S 35984
16.6%
3 35984
16.6%
1 35984
16.6%
n 660
 
0.3%
a 330
 
0.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:09.828920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.990912596
Min length3

Characters and Unicode

Total characters144926
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTrue
2nd rowTrue
3rd rowTrue
4th rowTrue
5th rowTrue
ValueCountFrequency (%)
true 35984
99.1%
nan 330
 
0.9%
2024-08-10T10:45:10.351103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 35984
24.8%
r 35895
24.8%
u 35895
24.8%
e 35895
24.8%
n 660
 
0.5%
a 330
 
0.2%
R 89
 
0.1%
U 89
 
0.1%
E 89
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 144926
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 35984
24.8%
r 35895
24.8%
u 35895
24.8%
e 35895
24.8%
n 660
 
0.5%
a 330
 
0.2%
R 89
 
0.1%
U 89
 
0.1%
E 89
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 144926
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 35984
24.8%
r 35895
24.8%
u 35895
24.8%
e 35895
24.8%
n 660
 
0.5%
a 330
 
0.2%
R 89
 
0.1%
U 89
 
0.1%
E 89
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 144926
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 35984
24.8%
r 35895
24.8%
u 35895
24.8%
e 35895
24.8%
n 660
 
0.5%
a 330
 
0.2%
R 89
 
0.1%
U 89
 
0.1%
E 89
 
0.1%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:10.585979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.990912596
Min length3

Characters and Unicode

Total characters144926
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTrue
2nd rowTrue
3rd rowTrue
4th rowTrue
5th rowTrue
ValueCountFrequency (%)
true 35984
99.1%
nan 330
 
0.9%
2024-08-10T10:45:11.079085image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
T 35984
24.8%
r 35895
24.8%
u 35895
24.8%
e 35895
24.8%
n 660
 
0.5%
a 330
 
0.2%
R 89
 
0.1%
U 89
 
0.1%
E 89
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 144926
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
T 35984
24.8%
r 35895
24.8%
u 35895
24.8%
e 35895
24.8%
n 660
 
0.5%
a 330
 
0.2%
R 89
 
0.1%
U 89
 
0.1%
E 89
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 144926
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
T 35984
24.8%
r 35895
24.8%
u 35895
24.8%
e 35895
24.8%
n 660
 
0.5%
a 330
 
0.2%
R 89
 
0.1%
U 89
 
0.1%
E 89
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 144926
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
T 35984
24.8%
r 35895
24.8%
u 35895
24.8%
e 35895
24.8%
n 660
 
0.5%
a 330
 
0.2%
R 89
 
0.1%
U 89
 
0.1%
E 89
 
0.1%

XRUUCHW
Real number (ℝ)

SKEWED 

Distinct2
Distinct (%)< 0.1%
Missing328
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.9999444228
Minimum0
Maximum1
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:11.347591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007454906065
Coefficient of variation (CV)0.007455320411
Kurtosis17990.49978
Mean0.9999444228
Median Absolute Deviation (MAD)0
Skewness-134.132397
Sum35984
Variance5.557562445 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:11.552219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 35984
99.1%
0 2
 
< 0.1%
(Missing) 328
 
0.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 35984
99.1%
ValueCountFrequency (%)
1 35984
99.1%
0 2
 
< 0.1%
Distinct34975
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:11.998952image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.03797433
Min length2

Characters and Unicode

Total characters364519
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33706 ?
Unique (%)92.8%

Sample

1st row-0.06373828
2nd row-0.07786343
3rd row0.1050869
4th row0.1280638
5th row0.2288386
ValueCountFrequency (%)
nan 14
 
< 0.1%
0.02866257 4
 
< 0.1%
0.03922532 3
 
< 0.1%
0.06298583 3
 
< 0.1%
0.1475683 3
 
< 0.1%
0.03143471 3
 
< 0.1%
0.007671353 3
 
< 0.1%
0.02779109 3
 
< 0.1%
0.03680873 3
 
< 0.1%
0.005630078 3
 
< 0.1%
Other values (34945) 36272
99.9%
2024-08-10T10:45:12.772174image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 70799
19.4%
. 36298
10.0%
1 33472
9.2%
2 28654
7.9%
3 26445
 
7.3%
- 25696
 
7.0%
4 25138
 
6.9%
5 24833
 
6.8%
6 24071
 
6.6%
7 23552
 
6.5%
Other values (7) 45561
12.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 364519
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 70799
19.4%
. 36298
10.0%
1 33472
9.2%
2 28654
7.9%
3 26445
 
7.3%
- 25696
 
7.0%
4 25138
 
6.9%
5 24833
 
6.8%
6 24071
 
6.6%
7 23552
 
6.5%
Other values (7) 45561
12.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 364519
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 70799
19.4%
. 36298
10.0%
1 33472
9.2%
2 28654
7.9%
3 26445
 
7.3%
- 25696
 
7.0%
4 25138
 
6.9%
5 24833
 
6.8%
6 24071
 
6.6%
7 23552
 
6.5%
Other values (7) 45561
12.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 364519
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 70799
19.4%
. 36298
10.0%
1 33472
9.2%
2 28654
7.9%
3 26445
 
7.3%
- 25696
 
7.0%
4 25138
 
6.9%
5 24833
 
6.8%
6 24071
 
6.6%
7 23552
 
6.5%
Other values (7) 45561
12.5%

RZPQSGM
Real number (ℝ)

Distinct5563
Distinct (%)15.3%
Missing14
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean775.1075908
Minimum0
Maximum977.7971
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:13.124977image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile673.7402
Q1740.6667
median777.7853
Q3814.32675
95-th percentile867.293895
Maximum977.7971
Range977.7971
Interquartile range (IQR)73.66005

Descriptive statistics

Standard deviation60.05010534
Coefficient of variation (CV)0.07747325152
Kurtosis4.077511969
Mean775.1075908
Median Absolute Deviation (MAD)36.6711
Skewness-0.7256909422
Sum28136405.55
Variance3606.015151
MonotonicityNot monotonic
2024-08-10T10:45:13.429805image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
808 110
 
0.3%
749.9021 57
 
0.2%
787.5443 51
 
0.1%
783.5891 44
 
0.1%
781.6998 43
 
0.1%
807.0236 43
 
0.1%
787.9831 42
 
0.1%
764.5486 41
 
0.1%
796.771 41
 
0.1%
748.0941 41
 
0.1%
Other values (5553) 35787
98.5%
ValueCountFrequency (%)
0 2
< 0.1%
11.64685 1
< 0.1%
117.9952 1
< 0.1%
184.4348 1
< 0.1%
249.7012 1
< 0.1%
ValueCountFrequency (%)
977.7971 1
< 0.1%
968.1354 1
< 0.1%
966.3641 1
< 0.1%
966.0763 1
< 0.1%
959.6823 1
< 0.1%

JNEVNAR
Real number (ℝ)

Distinct5538
Distinct (%)15.3%
Missing14
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.291845938
Minimum0
Maximum1.629662
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:13.710474image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1229
Q11.234444
median1.296309
Q31.357211
95-th percentile1.4454898
Maximum1.629662
Range1.629662
Interquartile range (IQR)0.122767

Descriptive statistics

Standard deviation0.1000835008
Coefficient of variation (CV)0.07747324807
Kurtosis4.077513023
Mean1.291845938
Median Absolute Deviation (MAD)0.061119
Skewness-0.72569111
Sum46894.00755
Variance0.01001670714
MonotonicityNot monotonic
2024-08-10T10:45:14.033430image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.346667 110
 
0.3%
1.249837 57
 
0.2%
1.312574 51
 
0.1%
1.305982 44
 
0.1%
1.302833 43
 
0.1%
1.345039 43
 
0.1%
1.313305 42
 
0.1%
1.274248 41
 
0.1%
1.246823 41
 
0.1%
1.327952 41
 
0.1%
Other values (5528) 35787
98.5%
ValueCountFrequency (%)
0 2
< 0.1%
0.01941141 1
< 0.1%
0.1966586 1
< 0.1%
0.3073913 1
< 0.1%
0.4161687 1
< 0.1%
ValueCountFrequency (%)
1.629662 1
< 0.1%
1.613559 1
< 0.1%
1.610607 1
< 0.1%
1.610127 1
< 0.1%
1.59947 1
< 0.1%

EAZAMWH
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.02010197207
Minimum0
Maximum2.943534
Zeros35812
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:14.357728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.943534
Range2.943534
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1733533778
Coefficient of variation (CV)8.623700066
Kurtosis79.94657678
Mean0.02010197207
Median Absolute Deviation (MAD)0
Skewness8.792749226
Sum729.74179
Variance0.03005139361
MonotonicityNot monotonic
2024-08-10T10:45:14.628148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 35812
98.6%
1.462885 42
 
0.1%
1.461121 37
 
0.1%
1.457607 34
 
0.1%
1.464653 32
 
0.1%
1.458484 29
 
0.1%
1.460241 29
 
0.1%
1.459362 28
 
0.1%
1.468201 28
 
0.1%
1.465538 28
 
0.1%
Other values (28) 203
 
0.6%
ValueCountFrequency (%)
0 35812
98.6%
1.447164 1
 
< 0.1%
1.449761 1
 
< 0.1%
1.451497 1
 
< 0.1%
1.452367 5
 
< 0.1%
ValueCountFrequency (%)
2.943534 1
< 0.1%
2.931076 2
< 0.1%
2.920482 1
< 0.1%
2.916967 2
< 0.1%
2.909964 1
< 0.1%

SHEGNUT
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.02368235761
Minimum0
Maximum2.941748
Zeros35729
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:14.913188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2.941748
Range2.941748
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1892989547
Coefficient of variation (CV)7.993247876
Kurtosis71.06153706
Mean0.02368235761
Median Absolute Deviation (MAD)0
Skewness8.23032253
Sum859.716946
Variance0.03583409424
MonotonicityNot monotonic
2024-08-10T10:45:15.186805image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 35729
98.4%
1.464653 52
 
0.1%
1.462002 47
 
0.1%
1.460241 42
 
0.1%
1.458484 40
 
0.1%
1.461121 39
 
0.1%
1.462885 36
 
0.1%
1.466425 34
 
0.1%
1.465538 33
 
0.1%
1.457607 32
 
0.1%
Other values (27) 218
 
0.6%
ValueCountFrequency (%)
0 35729
98.4%
1.449761 1
 
< 0.1%
1.450628 1
 
< 0.1%
1.452367 5
 
< 0.1%
1.453237 2
 
< 0.1%
ValueCountFrequency (%)
2.941748 1
 
< 0.1%
2.936402 3
< 0.1%
2.934625 1
 
< 0.1%
2.932849 1
 
< 0.1%
2.924005 1
 
< 0.1%

SWMNPFK
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:15.438198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:45:15.700340image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

JEKQIKE
Real number (ℝ)

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2120.681252
Minimum2099
Maximum2127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:16.033327image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2099
5-th percentile2113
Q12118
median2122
Q32124
95-th percentile2126
Maximum2127
Range28
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.947433269
Coefficient of variation (CV)0.001861398673
Kurtosis-0.1324761465
Mean2120.681252
Median Absolute Deviation (MAD)2
Skewness-0.6414945306
Sum77010419
Variance15.58222941
MonotonicityNot monotonic
2024-08-10T10:45:16.451565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2124 5617
15.5%
2123 4261
11.7%
2122 3747
10.3%
2113 3379
9.3%
2116 3246
8.9%
2120 3086
8.5%
2126 2877
7.9%
2118 2870
7.9%
2119 2639
7.3%
2121 2053
 
5.7%
Other values (15) 2539
7.0%
ValueCountFrequency (%)
2099 4
 
< 0.1%
2101 1
 
< 0.1%
2102 5
 
< 0.1%
2103 1
 
< 0.1%
2104 35
0.1%
ValueCountFrequency (%)
2127 749
 
2.1%
2126 2877
7.9%
2125 1241
 
3.4%
2124 5617
15.5%
2123 4261
11.7%

MUEKGHC
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.068954122
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:16.900631image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2786394314
Coefficient of variation (CV)0.2606654725
Kurtosis25.82937001
Mean1.068954122
Median Absolute Deviation (MAD)0
Skewness4.583978955
Sum38818
Variance0.07763993274
MonotonicityNot monotonic
2024-08-10T10:45:17.434240image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 34020
93.7%
2 2114
 
5.8%
3 154
 
0.4%
4 22
 
0.1%
5 4
 
< 0.1%
ValueCountFrequency (%)
1 34020
93.7%
2 2114
 
5.8%
3 154
 
0.4%
4 22
 
0.1%
5 4
 
< 0.1%
ValueCountFrequency (%)
5 4
 
< 0.1%
4 22
 
0.1%
3 154
 
0.4%
2 2114
 
5.8%
1 34020
93.7%

BXBUVRU
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:18.021362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:45:18.364254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

DKOVDCG
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.158487552
Minimum0
Maximum7
Zeros5343
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:18.748797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.645622922
Coefficient of variation (CV)0.7623962994
Kurtosis-0.0485160038
Mean2.158487552
Median Absolute Deviation (MAD)1
Skewness0.717834763
Sum78379
Variance2.708074802
MonotonicityNot monotonic
2024-08-10T10:45:19.135298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 9820
27.0%
2 7884
21.7%
3 5826
16.0%
0 5343
14.7%
4 3805
 
10.5%
5 2131
 
5.9%
6 1083
 
3.0%
7 420
 
1.2%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 5343
14.7%
1 9820
27.0%
2 7884
21.7%
3 5826
16.0%
4 3805
 
10.5%
ValueCountFrequency (%)
7 420
 
1.2%
6 1083
 
3.0%
5 2131
 
5.9%
4 3805
10.5%
3 5826
16.0%

VFXSABJ
Real number (ℝ)

Distinct6303
Distinct (%)17.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37.04421357
Minimum32.702
Maximum41.115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:19.604157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum32.702
5-th percentile34.525
Q135.923
median37.151
Q338.18
95-th percentile39.317
Maximum41.115
Range8.413
Interquartile range (IQR)2.257

Descriptive statistics

Standard deviation1.475746115
Coefficient of variation (CV)0.03983742596
Kurtosis-0.7105940176
Mean37.04421357
Median Absolute Deviation (MAD)1.12
Skewness-0.1562737024
Sum1345149.483
Variance2.177826597
MonotonicityNot monotonic
2024-08-10T10:45:20.120464image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.999 21
 
0.1%
37.891 21
 
0.1%
37.912 20
 
0.1%
38.001 20
 
0.1%
37.291 20
 
0.1%
37.097 20
 
0.1%
36.722 19
 
0.1%
37.768 19
 
0.1%
38.009 19
 
0.1%
38.691 19
 
0.1%
Other values (6293) 36114
99.4%
ValueCountFrequency (%)
32.702 1
< 0.1%
32.857 1
< 0.1%
32.874 1
< 0.1%
32.912 2
< 0.1%
32.92 2
< 0.1%
ValueCountFrequency (%)
41.115 1
 
< 0.1%
40.977 1
 
< 0.1%
40.939 1
 
< 0.1%
40.927 3
< 0.1%
40.882 1
 
< 0.1%

WELMYWE
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.324076118
Minimum3.3
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:20.553279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.312
Q13.32
median3.324
Q33.328
95-th percentile3.336
Maximum3.348
Range0.048
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007684731389
Coefficient of variation (CV)0.002311839776
Kurtosis-0.1627812437
Mean3.324076118
Median Absolute Deviation (MAD)0.004
Skewness-0.08580682423
Sum120703.852
Variance5.905509652 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:21.034238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.328 7650
21.1%
3.324 6805
18.7%
3.32 5790
15.9%
3.316 5469
15.1%
3.332 4254
11.7%
3.336 2273
 
6.3%
3.312 1466
 
4.0%
3.308 960
 
2.6%
3.34 948
 
2.6%
3.304 457
 
1.3%
Other values (3) 240
 
0.7%
ValueCountFrequency (%)
3.3 3
 
< 0.1%
3.304 457
 
1.3%
3.308 960
 
2.6%
3.312 1466
 
4.0%
3.316 5469
15.1%
ValueCountFrequency (%)
3.348 6
 
< 0.1%
3.344 231
 
0.6%
3.34 948
 
2.6%
3.336 2273
6.3%
3.332 4254
11.7%

ULCBNOU
Real number (ℝ)

Distinct66
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.561302875
Minimum1.35
Maximum2.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:21.446155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.35
5-th percentile1.47
Q11.5
median1.54
Q31.6
95-th percentile1.7
Maximum2.06
Range0.71
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.08844170072
Coefficient of variation (CV)0.05664608843
Kurtosis5.860925261
Mean1.561302875
Median Absolute Deviation (MAD)0.04
Skewness2.018251813
Sum56694.03
Variance0.007821934427
MonotonicityNot monotonic
2024-08-10T10:45:21.731950image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.51 3077
 
8.5%
1.5 2797
 
7.7%
1.52 2613
 
7.2%
1.49 2609
 
7.2%
1.53 2334
 
6.4%
1.54 2149
 
5.9%
1.55 1744
 
4.8%
1.48 1727
 
4.8%
1.56 1405
 
3.9%
1.58 1256
 
3.5%
Other values (56) 14601
40.2%
ValueCountFrequency (%)
1.35 1
 
< 0.1%
1.36 2
 
< 0.1%
1.37 10
< 0.1%
1.38 8
 
< 0.1%
1.39 24
0.1%
ValueCountFrequency (%)
2.06 1
 
< 0.1%
2.01 3
 
< 0.1%
2 8
 
< 0.1%
1.99 9
 
< 0.1%
1.98 39
0.1%

LGXZTHS
Real number (ℝ)

Distinct62
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean312.2628332
Minimum268
Maximum406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:22.040735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum268
5-th percentile294
Q1300
median308
Q3320
95-th percentile340
Maximum406
Range138
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.69682122
Coefficient of variation (CV)0.05667283882
Kurtosis5.90226853
Mean312.2628332
Median Absolute Deviation (MAD)8
Skewness2.024664876
Sum11338888
Variance313.1774812
MonotonicityNot monotonic
2024-08-10T10:45:22.326615image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
302 2951
 
8.1%
300 2876
 
7.9%
304 2597
 
7.2%
298 2586
 
7.1%
306 2408
 
6.6%
308 2065
 
5.7%
310 1749
 
4.8%
296 1681
 
4.6%
312 1494
 
4.1%
314 1278
 
3.5%
Other values (52) 14627
40.3%
ValueCountFrequency (%)
268 1
 
< 0.1%
272 3
 
< 0.1%
274 5
 
< 0.1%
276 16
< 0.1%
278 23
0.1%
ValueCountFrequency (%)
406 1
 
< 0.1%
404 1
 
< 0.1%
400 7
 
< 0.1%
398 7
 
< 0.1%
396 56
0.2%

ZZTPIJA
Real number (ℝ)

Distinct481
Distinct (%)1.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.038162587
Minimum0.773952
Maximum1.351168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:22.626827image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.773952
5-th percentile0.978432
Q10.999016
median1.02256
Q31.06496
95-th percentile1.13152
Maximum1.351168
Range0.577216
Interquartile range (IQR)0.065944

Descriptive statistics

Standard deviation0.0587747082
Coefficient of variation (CV)0.05661416521
Kurtosis5.912480546
Mean1.038162587
Median Absolute Deviation (MAD)0.027824
Skewness2.034821941
Sum37697.75985
Variance0.003454466324
MonotonicityNot monotonic
2024-08-10T10:45:22.915356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9972 677
 
1.9%
1.003848 604
 
1.7%
0.9984 573
 
1.6%
1.005056 540
 
1.5%
1.001432 525
 
1.4%
0.996 511
 
1.4%
0.990552 499
 
1.4%
1.00264 491
 
1.4%
1.011712 488
 
1.3%
1.01592 485
 
1.3%
Other values (471) 30919
85.1%
ValueCountFrequency (%)
0.773952 1
 
< 0.1%
0.91516 4
< 0.1%
0.916256 4
< 0.1%
0.92184 6
< 0.1%
0.922944 7
< 0.1%
ValueCountFrequency (%)
1.351168 1
 
< 0.1%
1.336248 2
 
< 0.1%
1.3312 5
< 0.1%
1.3296 1
 
< 0.1%
1.328 3
< 0.1%

XXIPGDP
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean41
Minimum41
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:23.169530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile41
Q141
median41
Q341
95-th percentile41
Maximum41
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean41
Median Absolute Deviation (MAD)0
Skewness0
Sum1488792
Variance0
MonotonicityIncreasing
2024-08-10T10:45:23.370288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
41 36312
> 99.9%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
41 36312
> 99.9%
ValueCountFrequency (%)
41 36312
> 99.9%

OGIHHVJ
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.329103657
Minimum3.308
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:23.587135image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.316
Q13.324
median3.328
Q33.336
95-th percentile3.34
Maximum3.352
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007728607352
Coefficient of variation (CV)0.002321527999
Kurtosis-0.210538
Mean3.329103657
Median Absolute Deviation (MAD)0.004
Skewness-0.09088819567
Sum120886.412
Variance5.97313716 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:23.802484image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.332 7554
20.8%
3.328 6250
17.2%
3.324 5875
16.2%
3.336 5488
15.1%
3.32 4755
13.1%
3.34 2454
 
6.8%
3.344 1449
 
4.0%
3.316 967
 
2.7%
3.312 907
 
2.5%
3.348 320
 
0.9%
Other values (2) 293
 
0.8%
ValueCountFrequency (%)
3.308 283
 
0.8%
3.312 907
 
2.5%
3.316 967
 
2.7%
3.32 4755
13.1%
3.324 5875
16.2%
ValueCountFrequency (%)
3.352 10
 
< 0.1%
3.348 320
 
0.9%
3.344 1449
 
4.0%
3.34 2454
6.8%
3.336 5488
15.1%

IJLFOZT
Real number (ℝ)

Distinct27
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1920480833
Minimum0.07
Maximum0.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:24.072210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.16
Q10.18
median0.19
Q30.2
95-th percentile0.22
Maximum0.33
Range0.26
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.02384530578
Coefficient of variation (CV)0.1241632063
Kurtosis3.789055637
Mean0.1920480833
Median Absolute Deviation (MAD)0.01
Skewness-0.3995340321
Sum6973.65
Variance0.0005685986078
MonotonicityNot monotonic
2024-08-10T10:45:24.324486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.19 7920
21.8%
0.2 7343
20.2%
0.18 5930
16.3%
0.21 4868
13.4%
0.17 3244
8.9%
0.22 2367
 
6.5%
0.16 1226
 
3.4%
0.23 985
 
2.7%
0.15 356
 
1.0%
0.24 333
 
0.9%
Other values (17) 1740
 
4.8%
ValueCountFrequency (%)
0.07 1
 
< 0.1%
0.08 8
 
< 0.1%
0.09 51
 
0.1%
0.1 185
0.5%
0.11 231
0.6%
ValueCountFrequency (%)
0.33 1
 
< 0.1%
0.32 2
 
< 0.1%
0.31 13
 
< 0.1%
0.3 30
 
0.1%
0.29 81
0.2%

GJVQCDG
Real number (ℝ)

Distinct26
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.41490416
Minimum14
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:24.563178image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile32
Q136
median38
Q340
95-th percentile46
Maximum64
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.790706667
Coefficient of variation (CV)0.1247095827
Kurtosis3.831345042
Mean38.41490416
Median Absolute Deviation (MAD)2
Skewness-0.3868062197
Sum1394922
Variance22.95087037
MonotonicityNot monotonic
2024-08-10T10:45:24.837443image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
38 7930
21.8%
40 7286
20.1%
36 6056
16.7%
42 4743
13.1%
34 3106
 
8.6%
44 2460
 
6.8%
32 1241
 
3.4%
46 1042
 
2.9%
30 352
 
1.0%
48 349
 
1.0%
Other values (16) 1747
 
4.8%
ValueCountFrequency (%)
14 7
 
< 0.1%
16 9
 
< 0.1%
18 45
 
0.1%
20 158
0.4%
22 266
0.7%
ValueCountFrequency (%)
64 3
 
< 0.1%
62 16
 
< 0.1%
60 45
0.1%
58 83
0.2%
56 72
0.2%

XKFVLFS
Real number (ℝ)

Distinct191
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1278677132
Minimum0.046648
Maximum0.226576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:25.137052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.046648
5-th percentile0.10624
Q10.119808
median0.126768
Q30.13376
95-th percentile0.152352
Maximum0.226576
Range0.179928
Interquartile range (IQR)0.013952

Descriptive statistics

Standard deviation0.01589891612
Coefficient of variation (CV)0.1243387852
Kurtosis3.930445234
Mean0.1278677132
Median Absolute Deviation (MAD)0.00696
Skewness-0.3181079439
Sum4643.1324
Variance0.0002527755339
MonotonicityNot monotonic
2024-08-10T10:45:25.429366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.126616 1693
 
4.7%
0.13328 1473
 
4.1%
0.126464 1396
 
3.8%
0.126312 1325
 
3.6%
0.13296 1255
 
3.5%
0.13312 1231
 
3.4%
0.119952 1205
 
3.3%
0.126768 1182
 
3.3%
0.119808 1174
 
3.2%
0.13344 1124
 
3.1%
Other values (181) 23254
64.0%
ValueCountFrequency (%)
0.046648 4
< 0.1%
0.046704 1
 
< 0.1%
0.053312 5
< 0.1%
0.053376 6
< 0.1%
0.059904 1
 
< 0.1%
ValueCountFrequency (%)
0.226576 1
 
< 0.1%
0.220176 1
 
< 0.1%
0.213504 3
< 0.1%
0.213248 2
< 0.1%
0.212992 1
 
< 0.1%

QZOMJMJ
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.324487552
Minimum3.3
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:25.691774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.312
Q13.32
median3.324
Q33.328
95-th percentile3.336
Maximum3.348
Range0.048
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007709938666
Coefficient of variation (CV)0.002319135971
Kurtosis-0.160837408
Mean3.324487552
Median Absolute Deviation (MAD)0.004
Skewness-0.09320007091
Sum120718.792
Variance5.944315424 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:25.955399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.328 7803
21.5%
3.324 6544
18.0%
3.32 5736
15.8%
3.316 5152
14.2%
3.332 4728
13.0%
3.336 2351
 
6.5%
3.312 1316
 
3.6%
3.34 1052
 
2.9%
3.308 926
 
2.5%
3.304 391
 
1.1%
Other values (3) 313
 
0.9%
ValueCountFrequency (%)
3.3 2
 
< 0.1%
3.304 391
 
1.1%
3.308 926
 
2.5%
3.312 1316
 
3.6%
3.316 5152
14.2%
ValueCountFrequency (%)
3.348 10
 
< 0.1%
3.344 301
 
0.8%
3.34 1052
 
2.9%
3.336 2351
6.5%
3.332 4728
13.0%

GBGZJZO
Real number (ℝ)

Distinct77
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.428998678
Minimum1.11
Maximum1.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:26.225116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.11
5-th percentile1.25
Q11.32
median1.4
Q31.53
95-th percentile1.66
Maximum1.89
Range0.78
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1312087919
Coefficient of variation (CV)0.09181869368
Kurtosis-0.7253981117
Mean1.428998678
Median Absolute Deviation (MAD)0.1
Skewness0.4584013317
Sum51889.8
Variance0.01721574707
MonotonicityNot monotonic
2024-08-10T10:45:26.517390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.33 1355
 
3.7%
1.31 1329
 
3.7%
1.34 1301
 
3.6%
1.32 1296
 
3.6%
1.35 1199
 
3.3%
1.3 1184
 
3.3%
1.29 1150
 
3.2%
1.36 1148
 
3.2%
1.28 1099
 
3.0%
1.37 1066
 
2.9%
Other values (67) 24185
66.6%
ValueCountFrequency (%)
1.11 1
 
< 0.1%
1.12 3
< 0.1%
1.13 3
< 0.1%
1.14 2
< 0.1%
1.15 4
< 0.1%
ValueCountFrequency (%)
1.89 1
 
< 0.1%
1.86 3
< 0.1%
1.85 3
< 0.1%
1.84 3
< 0.1%
1.83 7
< 0.1%

VYTOISY
Real number (ℝ)

Distinct76
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean285.8022141
Minimum222
Maximum378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:26.815942image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile250
Q1264
median280
Q3306
95-th percentile332
Maximum378
Range156
Interquartile range (IQR)42

Descriptive statistics

Standard deviation26.23483089
Coefficient of variation (CV)0.09179365866
Kurtosis-0.7308196577
Mean285.8022141
Median Absolute Deviation (MAD)20
Skewness0.453079421
Sum10378050
Variance688.2663518
MonotonicityNot monotonic
2024-08-10T10:45:27.117480image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262 1341
 
3.7%
266 1337
 
3.7%
264 1298
 
3.6%
268 1269
 
3.5%
270 1263
 
3.5%
260 1153
 
3.2%
272 1144
 
3.2%
258 1128
 
3.1%
274 1107
 
3.0%
256 1066
 
2.9%
Other values (66) 24206
66.7%
ValueCountFrequency (%)
222 2
 
< 0.1%
226 7
< 0.1%
228 2
 
< 0.1%
230 2
 
< 0.1%
232 8
< 0.1%
ValueCountFrequency (%)
378 1
 
< 0.1%
376 1
 
< 0.1%
372 2
 
< 0.1%
368 6
< 0.1%
366 2
 
< 0.1%

RMVEJRV
Real number (ℝ)

Distinct664
Distinct (%)1.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9500740773
Minimum0.745472
Maximum1.256472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:27.422370image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.745472
5-th percentile0.833
Q10.878592
median0.93184
Q31.017144
95-th percentile1.104896
Maximum1.256472
Range0.511
Interquartile range (IQR)0.138552

Descriptive statistics

Standard deviation0.08719208137
Coefficient of variation (CV)0.0917739821
Kurtosis-0.7248632337
Mean0.9500740773
Median Absolute Deviation (MAD)0.06536
Skewness0.4579398546
Sum34499.0899
Variance0.007602459054
MonotonicityNot monotonic
2024-08-10T10:45:27.705443image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.878592 282
 
0.8%
0.89856 270
 
0.7%
0.890832 256
 
0.7%
0.87648 254
 
0.7%
0.870888 253
 
0.7%
0.891904 250
 
0.7%
0.885248 250
 
0.7%
0.86984 247
 
0.7%
0.911872 246
 
0.7%
0.88312 244
 
0.7%
Other values (654) 33760
93.0%
ValueCountFrequency (%)
0.745472 2
< 0.1%
0.746368 1
 
< 0.1%
0.752128 1
 
< 0.1%
0.758784 3
< 0.1%
0.759696 2
< 0.1%
ValueCountFrequency (%)
1.256472 1
 
< 0.1%
1.238016 1
 
< 0.1%
1.23136 1
 
< 0.1%
1.224704 3
< 0.1%
1.223232 1
 
< 0.1%

JULDEHH
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.318347544
Minimum3.296
Maximum3.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:27.962859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.296
5-th percentile3.308
Q13.312
median3.32
Q33.324
95-th percentile3.332
Maximum3.34
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007697737126
Coefficient of variation (CV)0.002319750124
Kurtosis-0.190806272
Mean3.318347544
Median Absolute Deviation (MAD)0.004
Skewness-0.1282548056
Sum120495.836
Variance5.925515686 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:28.204635image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.32 7310
20.1%
3.324 6797
18.7%
3.316 6117
16.8%
3.312 5625
15.5%
3.308 3366
9.3%
3.328 3006
8.3%
3.332 1802
 
5.0%
3.3 839
 
2.3%
3.304 796
 
2.2%
3.336 498
 
1.4%
Other values (2) 156
 
0.4%
ValueCountFrequency (%)
3.296 104
 
0.3%
3.3 839
 
2.3%
3.304 796
 
2.2%
3.308 3366
9.3%
3.312 5625
15.5%
ValueCountFrequency (%)
3.34 52
 
0.1%
3.336 498
 
1.4%
3.332 1802
 
5.0%
3.328 3006
8.3%
3.324 6797
18.7%

NOLZTQY
Real number (ℝ)

Distinct72
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.106188863
Minimum2.81
Maximum3.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:28.469098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.81
5-th percentile2.93
Q13
median3.09
Q33.2
95-th percentile3.34
Maximum3.53
Range0.72
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1263591501
Coefficient of variation (CV)0.0406798027
Kurtosis-0.6288490765
Mean3.106188863
Median Absolute Deviation (MAD)0.09
Skewness0.4578099229
Sum112791.93
Variance0.01596663482
MonotonicityNot monotonic
2024-08-10T10:45:28.755385image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.99 1299
 
3.6%
3.01 1265
 
3.5%
2.98 1227
 
3.4%
3 1216
 
3.3%
3.02 1190
 
3.3%
3.03 1163
 
3.2%
3.04 1110
 
3.1%
2.97 1084
 
3.0%
3.07 1076
 
3.0%
3.06 1052
 
2.9%
Other values (62) 24630
67.8%
ValueCountFrequency (%)
2.81 1
 
< 0.1%
2.82 4
 
< 0.1%
2.83 3
 
< 0.1%
2.84 7
< 0.1%
2.85 12
< 0.1%
ValueCountFrequency (%)
3.53 1
 
< 0.1%
3.51 2
 
< 0.1%
3.5 4
< 0.1%
3.49 4
< 0.1%
3.48 8
< 0.1%

NVBZJEU
Real number (ℝ)

Distinct74
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean621.1991628
Minimum562
Maximum708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:29.071565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum562
5-th percentile586
Q1600
median618
Q3640
95-th percentile668
Maximum708
Range146
Interquartile range (IQR)40

Descriptive statistics

Standard deviation25.25466538
Coefficient of variation (CV)0.04065469963
Kurtosis-0.6303346887
Mean621.1991628
Median Absolute Deviation (MAD)18
Skewness0.456944075
Sum22556984
Variance637.7981233
MonotonicityNot monotonic
2024-08-10T10:45:29.357522image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
598 1279
 
3.5%
600 1248
 
3.4%
604 1231
 
3.4%
596 1219
 
3.4%
602 1209
 
3.3%
606 1183
 
3.3%
594 1122
 
3.1%
608 1063
 
2.9%
610 1050
 
2.9%
612 1042
 
2.9%
Other values (64) 24666
67.9%
ValueCountFrequency (%)
562 1
 
< 0.1%
564 5
 
< 0.1%
566 4
 
< 0.1%
568 13
< 0.1%
570 13
< 0.1%
ValueCountFrequency (%)
708 1
< 0.1%
706 1
< 0.1%
704 1
< 0.1%
702 2
< 0.1%
700 2
< 0.1%

BTXMHGA
Real number (ℝ)

Distinct642
Distinct (%)1.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.061417181
Minimum1.870224
Maximum2.34392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:29.648335image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.870224
5-th percentile1.947456
Q11.992536
median2.047584
Q32.120712
95-th percentile2.21636
Maximum2.34392
Range0.473696
Interquartile range (IQR)0.128176

Descriptive statistics

Standard deviation0.0839764369
Coefficient of variation (CV)0.04073723538
Kurtosis-0.6120985527
Mean2.061417181
Median Absolute Deviation (MAD)0.062224
Skewness0.4692738538
Sum74854.18067
Variance0.007052041955
MonotonicityNot monotonic
2024-08-10T10:45:29.964093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.98536 299
 
0.8%
1.980576 269
 
0.7%
1.97208 265
 
0.7%
1.992 264
 
0.7%
1.97872 258
 
0.7%
2.013696 247
 
0.7%
1.9872 247
 
0.7%
1.973952 243
 
0.7%
1.993824 241
 
0.7%
2.000448 240
 
0.7%
Other values (632) 33739
92.9%
ValueCountFrequency (%)
1.870224 3
< 0.1%
1.874736 3
< 0.1%
1.876856 1
 
< 0.1%
1.881216 3
< 0.1%
1.88576 7
< 0.1%
ValueCountFrequency (%)
2.34392 1
 
< 0.1%
2.333448 1
 
< 0.1%
2.3268 1
 
< 0.1%
2.324 3
< 0.1%
2.320152 3
< 0.1%

CMOKZIS
Real number (ℝ)

Distinct1554
Distinct (%)4.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.57918325
Minimum24.613
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:30.285077image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum24.613
5-th percentile26.502
Q127.603
median28.5
Q329.445
95-th percentile30.931
Maximum38
Range13.387
Interquartile range (IQR)1.842

Descriptive statistics

Standard deviation1.367803185
Coefficient of variation (CV)0.04786012158
Kurtosis0.5294738326
Mean28.57918325
Median Absolute Deviation (MAD)0.933
Skewness0.4486299357
Sum1037767.302
Variance1.870885553
MonotonicityNot monotonic
2024-08-10T10:45:30.611159image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.438 347
 
1.0%
27.688 309
 
0.9%
28.875 303
 
0.8%
28.75 300
 
0.8%
28.5 280
 
0.8%
29 266
 
0.7%
28.375 262
 
0.7%
28.938 255
 
0.7%
28.688 252
 
0.7%
29.313 247
 
0.7%
Other values (1544) 33491
92.2%
ValueCountFrequency (%)
24.613 1
< 0.1%
24.678 2
< 0.1%
24.708 1
< 0.1%
24.712 1
< 0.1%
24.85 1
< 0.1%
ValueCountFrequency (%)
38 1
< 0.1%
37.25 1
< 0.1%
36.75 1
< 0.1%
36.698 1
< 0.1%
35.625 1
< 0.1%

ZWBKTXW
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.040984248
Minimum3.016
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:30.886242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.016
5-th percentile3.024
Q13.036
median3.04
Q33.048
95-th percentile3.052
Maximum3.068
Range0.052
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008565675481
Coefficient of variation (CV)0.002816744443
Kurtosis0.4703358197
Mean3.040984248
Median Absolute Deviation (MAD)0.004
Skewness-0.4756250406
Sum110424.22
Variance7.337079644 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:31.130035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.04 8325
22.9%
3.044 7729
21.3%
3.048 4798
13.2%
3.036 3601
9.9%
3.032 3554
9.8%
3.052 3045
 
8.4%
3.056 1556
 
4.3%
3.024 1287
 
3.5%
3.028 1054
 
2.9%
3.02 674
 
1.9%
Other values (4) 689
 
1.9%
ValueCountFrequency (%)
3.016 456
 
1.3%
3.02 674
 
1.9%
3.024 1287
 
3.5%
3.028 1054
 
2.9%
3.032 3554
9.8%
ValueCountFrequency (%)
3.068 90
 
0.2%
3.064 31
 
0.1%
3.06 112
 
0.3%
3.056 1556
4.3%
3.052 3045
8.4%

VWNSDQF
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.672436109
Minimum1.652
Maximum1.696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:31.420814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.652
5-th percentile1.66
Q11.668
median1.672
Q31.68
95-th percentile1.688
Maximum1.696
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007877091727
Coefficient of variation (CV)0.004709950762
Kurtosis-0.7347469222
Mean1.672436109
Median Absolute Deviation (MAD)0.008
Skewness0.3561984662
Sum60729.5
Variance6.204857408 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:31.745133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.668 7115
19.6%
1.672 6564
18.1%
1.664 6424
17.7%
1.68 4847
13.3%
1.676 3803
10.5%
1.684 3336
9.2%
1.66 2244
 
6.2%
1.688 1478
 
4.1%
1.692 348
 
1.0%
1.656 141
 
0.4%
Other values (2) 12
 
< 0.1%
ValueCountFrequency (%)
1.652 1
 
< 0.1%
1.656 141
 
0.4%
1.66 2244
 
6.2%
1.664 6424
17.7%
1.668 7115
19.6%
ValueCountFrequency (%)
1.696 11
 
< 0.1%
1.692 348
 
1.0%
1.688 1478
 
4.1%
1.684 3336
9.2%
1.68 4847
13.3%

UJYQCMY
Real number (ℝ)

Distinct30
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.07569123
Minimum22
Maximum36.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:32.092301image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24.5
Q126.5
median28.5
Q329.5
95-th percentile31.5
Maximum36.5
Range14.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.179654564
Coefficient of variation (CV)0.07763493856
Kurtosis-0.3999363758
Mean28.07569123
Median Absolute Deviation (MAD)1.5
Skewness-0.03669846911
Sum1019484.5
Variance4.750894017
MonotonicityNot monotonic
2024-08-10T10:45:32.438540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28.5 3894
10.7%
28 3430
 
9.4%
29 3361
 
9.3%
29.5 3286
 
9.0%
30 2598
 
7.2%
27.5 2545
 
7.0%
25.5 1971
 
5.4%
26 1938
 
5.3%
27 1872
 
5.2%
26.5 1723
 
4.7%
Other values (20) 9694
26.7%
ValueCountFrequency (%)
22 1
 
< 0.1%
22.5 18
 
< 0.1%
23 137
 
0.4%
23.5 404
1.1%
24 810
2.2%
ValueCountFrequency (%)
36.5 2
 
< 0.1%
36 4
 
< 0.1%
35.5 15
< 0.1%
35 16
< 0.1%
34.5 19
0.1%

SMOGFZD
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.04096508
Minimum3.016
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:32.897279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.016
5-th percentile3.024
Q13.036
median3.04
Q33.048
95-th percentile3.052
Maximum3.068
Range0.052
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008574642211
Coefficient of variation (CV)0.002819710843
Kurtosis0.4849023067
Mean3.04096508
Median Absolute Deviation (MAD)0.004
Skewness-0.4795355828
Sum110423.524
Variance7.352448905 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:33.339678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.04 8366
23.0%
3.044 7758
21.4%
3.048 4733
13.0%
3.032 3573
9.8%
3.036 3567
9.8%
3.052 3041
 
8.4%
3.056 1567
 
4.3%
3.024 1294
 
3.6%
3.028 1058
 
2.9%
3.02 641
 
1.8%
Other values (4) 714
 
2.0%
ValueCountFrequency (%)
3.016 488
 
1.3%
3.02 641
 
1.8%
3.024 1294
 
3.6%
3.028 1058
 
2.9%
3.032 3573
9.8%
ValueCountFrequency (%)
3.068 91
 
0.3%
3.064 30
 
0.1%
3.06 105
 
0.3%
3.056 1567
4.3%
3.052 3041
8.4%

CQZHXYY
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9261519057
Minimum0.908
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:33.671399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.908
5-th percentile0.916
Q10.924
median0.928
Q30.932
95-th percentile0.936
Maximum0.944
Range0.036
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.006126232378
Coefficient of variation (CV)0.006614716592
Kurtosis-0.5134457275
Mean0.9261519057
Median Absolute Deviation (MAD)0.004
Skewness-0.0474314112
Sum33630.428
Variance3.753072315 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:34.006812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.924 8973
24.7%
0.928 8792
24.2%
0.932 5742
15.8%
0.92 4742
13.1%
0.916 3480
 
9.6%
0.936 3468
 
9.6%
0.912 557
 
1.5%
0.94 544
 
1.5%
0.944 12
 
< 0.1%
0.908 2
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0.908 2
 
< 0.1%
0.912 557
 
1.5%
0.916 3480
 
9.6%
0.92 4742
13.1%
0.924 8973
24.7%
ValueCountFrequency (%)
0.944 12
 
< 0.1%
0.94 544
 
1.5%
0.936 3468
 
9.6%
0.932 5742
15.8%
0.928 8792
24.2%

VCPMKTP
Real number (ℝ)

Distinct31
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.09244878
Minimum22
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:34.391283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24.5
Q126.5
median28.5
Q329.5
95-th percentile31.5
Maximum37
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.175091323
Coefficient of variation (CV)0.07742619166
Kurtosis-0.3999939166
Mean28.09244878
Median Absolute Deviation (MAD)1.5
Skewness-0.03226083247
Sum1020093
Variance4.731022265
MonotonicityNot monotonic
2024-08-10T10:45:34.680322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
28.5 3902
10.7%
28 3412
 
9.4%
29 3374
 
9.3%
29.5 3268
 
9.0%
30 2607
 
7.2%
27.5 2511
 
6.9%
25.5 1963
 
5.4%
26 1957
 
5.4%
27 1886
 
5.2%
26.5 1734
 
4.8%
Other values (21) 9698
26.7%
ValueCountFrequency (%)
22 1
 
< 0.1%
22.5 17
 
< 0.1%
23 109
 
0.3%
23.5 403
1.1%
24 781
2.2%
ValueCountFrequency (%)
37 1
 
< 0.1%
36.5 1
 
< 0.1%
36 5
 
< 0.1%
35.5 16
< 0.1%
35 14
< 0.1%

DVRDHUH
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.32591573
Minimum3.304
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:35.041129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.32
median3.328
Q33.332
95-th percentile3.34
Maximum3.348
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007706662024
Coefficient of variation (CV)0.002317154928
Kurtosis-0.2231639456
Mean3.32591573
Median Absolute Deviation (MAD)0.004
Skewness-0.1037559261
Sum120770.652
Variance5.939263955 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:35.417008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.328 7519
20.7%
3.332 6315
17.4%
3.32 5981
16.5%
3.324 5921
16.3%
3.316 3832
10.6%
3.336 2752
 
7.6%
3.34 1718
 
4.7%
3.308 941
 
2.6%
3.312 742
 
2.0%
3.344 444
 
1.2%
Other values (2) 147
 
0.4%
ValueCountFrequency (%)
3.304 123
 
0.3%
3.308 941
 
2.6%
3.312 742
 
2.0%
3.316 3832
10.6%
3.32 5981
16.5%
ValueCountFrequency (%)
3.348 24
 
0.1%
3.344 444
 
1.2%
3.34 1718
 
4.7%
3.336 2752
7.6%
3.332 6315
17.4%

INFZDWA
Real number (ℝ)

Distinct32
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.053601289
Minimum0.92
Maximum1.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:35.850199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.92
5-th percentile1
Q11.03
median1.05
Q31.08
95-th percentile1.11
Maximum1.23
Range0.31
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03478934884
Coefficient of variation (CV)0.03301946306
Kurtosis0.9908649637
Mean1.053601289
Median Absolute Deviation (MAD)0.02
Skewness0.2598989161
Sum38258.37
Variance0.001210298793
MonotonicityNot monotonic
2024-08-10T10:45:36.320675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.04 4414
12.2%
1.05 4390
12.1%
1.06 4319
11.9%
1.03 3649
10.0%
1.07 3464
9.5%
1.02 2890
8.0%
1.08 2885
7.9%
1.09 2130
5.9%
1.01 1736
 
4.8%
1.1 1580
 
4.4%
Other values (22) 4855
13.4%
ValueCountFrequency (%)
0.92 5
 
< 0.1%
0.93 10
 
< 0.1%
0.94 35
 
0.1%
0.95 113
0.3%
0.96 91
0.3%
ValueCountFrequency (%)
1.23 2
 
< 0.1%
1.22 5
 
< 0.1%
1.21 15
 
< 0.1%
1.2 29
0.1%
1.19 48
0.1%

DANYGJI
Real number (ℝ)

Distinct32
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean210.6871558
Minimum184
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:36.750117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum184
5-th percentile200
Q1206
median210
Q3216
95-th percentile222
Maximum246
Range62
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.989856189
Coefficient of variation (CV)0.03317647041
Kurtosis0.9131930376
Mean210.6871558
Median Absolute Deviation (MAD)4
Skewness0.2481723073
Sum7650472
Variance48.85808954
MonotonicityNot monotonic
2024-08-10T10:45:37.163408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
208 4460
12.3%
210 4314
11.9%
212 4048
11.1%
206 3657
10.1%
214 3529
9.7%
204 2910
8.0%
216 2895
8.0%
218 2233
6.1%
202 1788
 
4.9%
220 1610
 
4.4%
Other values (22) 4868
13.4%
ValueCountFrequency (%)
184 4
 
< 0.1%
186 14
 
< 0.1%
188 42
 
0.1%
190 101
0.3%
192 106
0.3%
ValueCountFrequency (%)
246 3
 
< 0.1%
244 1
 
< 0.1%
242 19
0.1%
240 24
0.1%
238 40
0.1%

ZMEJKZD
Real number (ℝ)

Distinct248
Distinct (%)0.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.7008121875
Minimum0.606424
Maximum0.813008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:37.441757image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.606424
5-th percentile0.6656
Q10.685568
median0.69888
Q30.715392
95-th percentile0.739704
Maximum0.813008
Range0.206584
Interquartile range (IQR)0.029824

Descriptive statistics

Standard deviation0.02311803958
Coefficient of variation (CV)0.0329874965
Kurtosis0.9691397363
Mean0.7008121875
Median Absolute Deviation (MAD)0.014168
Skewness0.3041427793
Sum25447.89215
Variance0.000534443754
MonotonicityNot monotonic
2024-08-10T10:45:37.737291image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.692224 951
 
2.6%
0.685568 916
 
2.5%
0.69056 900
 
2.5%
0.6972 880
 
2.4%
0.69888 854
 
2.4%
0.70384 789
 
2.2%
0.705536 782
 
2.2%
0.691392 767
 
2.1%
0.69804 762
 
2.1%
0.704688 710
 
2.0%
Other values (238) 28001
77.1%
ValueCountFrequency (%)
0.606424 1
 
< 0.1%
0.613088 1
 
< 0.1%
0.61456 2
 
< 0.1%
0.619008 7
< 0.1%
0.619752 5
< 0.1%
ValueCountFrequency (%)
0.813008 2
 
< 0.1%
0.812032 3
 
< 0.1%
0.806344 7
< 0.1%
0.805376 6
< 0.1%
0.79968 14
< 0.1%

ZYDCHBB
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.31232364
Minimum3.288
Maximum3.336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:37.977914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.288
5-th percentile3.3
Q13.308
median3.312
Q33.316
95-th percentile3.324
Maximum3.336
Range0.048
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007761709189
Coefficient of variation (CV)0.00234328225
Kurtosis-0.1536748543
Mean3.31232364
Median Absolute Deviation (MAD)0.004
Skewness-0.07942254143
Sum120277.096
Variance6.024412954 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:38.217942image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.316 7580
20.9%
3.312 6817
18.8%
3.308 5902
16.3%
3.304 4867
13.4%
3.32 4429
12.2%
3.324 2362
 
6.5%
3.3 1633
 
4.5%
3.328 1051
 
2.9%
3.296 933
 
2.6%
3.292 413
 
1.1%
Other values (3) 325
 
0.9%
ValueCountFrequency (%)
3.288 8
 
< 0.1%
3.292 413
 
1.1%
3.296 933
 
2.6%
3.3 1633
 
4.5%
3.304 4867
13.4%
ValueCountFrequency (%)
3.336 5
 
< 0.1%
3.332 312
 
0.9%
3.328 1051
 
2.9%
3.324 2362
6.5%
3.32 4429
12.2%

AWJPBPO
Real number (ℝ)

Distinct147
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.700849857
Minimum4.11
Maximum5.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:38.478880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.11
5-th percentile4.36
Q14.47
median4.6
Q34.95
95-th percentile5.21
Maximum5.6
Range1.49
Interquartile range (IQR)0.48

Descriptive statistics

Standard deviation0.2875824296
Coefficient of variation (CV)0.06117668897
Kurtosis-0.7731461878
Mean4.700849857
Median Absolute Deviation (MAD)0.18
Skewness0.6162525741
Sum170697.26
Variance0.08270365381
MonotonicityNot monotonic
2024-08-10T10:45:38.778931image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.48 906
 
2.5%
4.49 871
 
2.4%
4.46 870
 
2.4%
4.47 851
 
2.3%
4.51 811
 
2.2%
4.44 795
 
2.2%
4.42 780
 
2.1%
4.43 779
 
2.1%
4.53 762
 
2.1%
4.45 744
 
2.0%
Other values (137) 28143
77.5%
ValueCountFrequency (%)
4.11 1
 
< 0.1%
4.14 2
 
< 0.1%
4.15 8
< 0.1%
4.16 4
< 0.1%
4.17 3
 
< 0.1%
ValueCountFrequency (%)
5.6 2
 
< 0.1%
5.59 1
 
< 0.1%
5.57 3
< 0.1%
5.56 5
< 0.1%
5.55 2
 
< 0.1%

LLOQQSF
Real number (ℝ)

Distinct150
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean940.184512
Minimum820
Maximum1124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:39.107132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum820
5-th percentile872
Q1894
median920
Q3990
95-th percentile1042
Maximum1124
Range304
Interquartile range (IQR)96

Descriptive statistics

Standard deviation57.49513554
Coefficient of variation (CV)0.06115303412
Kurtosis-0.7792864393
Mean940.184512
Median Absolute Deviation (MAD)36
Skewness0.6149710067
Sum34139980
Variance3305.690611
MonotonicityNot monotonic
2024-08-10T10:45:39.380485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
896 896
 
2.5%
894 865
 
2.4%
900 842
 
2.3%
892 836
 
2.3%
888 833
 
2.3%
898 824
 
2.3%
890 809
 
2.2%
902 799
 
2.2%
886 780
 
2.1%
904 773
 
2.1%
Other values (140) 28055
77.3%
ValueCountFrequency (%)
820 1
 
< 0.1%
822 1
 
< 0.1%
824 5
< 0.1%
826 1
 
< 0.1%
828 1
 
< 0.1%
ValueCountFrequency (%)
1124 1
 
< 0.1%
1116 2
 
< 0.1%
1114 2
 
< 0.1%
1112 3
< 0.1%
1110 7
< 0.1%

DPPXTGF
Real number (ℝ)

Distinct1267
Distinct (%)3.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.114122054
Minimum2.722304
Maximum3.702936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:39.700308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.722304
5-th percentile2.888064
Q12.960384
median3.04704
Q33.27888
95-th percentile3.451104
Maximum3.702936
Range0.980632
Interquartile range (IQR)0.318496

Descriptive statistics

Standard deviation0.1898226549
Coefficient of variation (CV)0.06095543192
Kurtosis-0.7570970718
Mean3.114122054
Median Absolute Deviation (MAD)0.119232
Skewness0.6215390159
Sum113080
Variance0.03603264031
MonotonicityNot monotonic
2024-08-10T10:45:39.991986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.95124 179
 
0.5%
2.974176 174
 
0.5%
2.963968 172
 
0.5%
2.970584 170
 
0.5%
2.9844 170
 
0.5%
2.957352 169
 
0.5%
2.960928 169
 
0.5%
2.950736 167
 
0.5%
2.944608 164
 
0.5%
2.954304 163
 
0.4%
Other values (1257) 34615
95.3%
ValueCountFrequency (%)
2.722304 1
 
< 0.1%
2.735712 1
 
< 0.1%
2.74232 1
 
< 0.1%
2.745648 4
< 0.1%
2.748928 2
< 0.1%
ValueCountFrequency (%)
3.702936 2
< 0.1%
3.702816 1
< 0.1%
3.69848 2
< 0.1%
3.698344 2
< 0.1%
3.687392 1
< 0.1%

KRMCXMU
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:40.236774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:45:40.429427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

XRUSUCA
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:40.648238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:45:40.845656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

CRPEWMZ
Real number (ℝ)

Distinct73
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.787657661
Minimum9.468
Maximum10.175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:41.109845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.468
5-th percentile9.633
Q19.704
median9.776
Q39.874
95-th percentile9.973
Maximum10.175
Range0.707
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.1115100786
Coefficient of variation (CV)0.01139292796
Kurtosis-0.386787813
Mean9.787657661
Median Absolute Deviation (MAD)0.074
Skewness0.4371370635
Sum355409.425
Variance0.01243449763
MonotonicityNot monotonic
2024-08-10T10:45:41.408676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.729 2593
 
7.1%
9.704 2303
 
6.3%
9.801 2283
 
6.3%
9.777 2206
 
6.1%
9.681 1654
 
4.6%
9.633 1542
 
4.2%
9.752 1538
 
4.2%
9.899 1510
 
4.2%
9.657 1335
 
3.7%
9.753 1294
 
3.6%
Other values (63) 18054
49.7%
ValueCountFrequency (%)
9.468 1
 
< 0.1%
9.491 28
 
0.1%
9.515 13
 
< 0.1%
9.538 42
0.1%
9.562 90
0.2%
ValueCountFrequency (%)
10.175 7
 
< 0.1%
10.149 7
 
< 0.1%
10.124 77
0.2%
10.123 4
 
< 0.1%
10.099 123
0.3%

HIPZTCK
Real number (ℝ)

Distinct289
Distinct (%)0.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.943091568
Minimum7.439
Maximum8.455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:41.736256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.439
5-th percentile7.695
Q17.818
median7.957
Q38.057
95-th percentile8.174
Maximum8.455
Range1.016
Interquartile range (IQR)0.239

Descriptive statistics

Standard deviation0.1520116323
Coefficient of variation (CV)0.01913759032
Kurtosis-0.5445519228
Mean7.943091568
Median Absolute Deviation (MAD)0.118
Skewness-0.08819219
Sum288429.541
Variance0.02310753635
MonotonicityNot monotonic
2024-08-10T10:45:42.036164image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.014 1329
 
3.7%
8.091 1290
 
3.6%
7.812 1193
 
3.3%
8.008 1152
 
3.2%
7.974 980
 
2.7%
7.896 895
 
2.5%
8.097 851
 
2.3%
7.845 825
 
2.3%
7.728 761
 
2.1%
8.002 755
 
2.1%
Other values (279) 26281
72.4%
ValueCountFrequency (%)
7.439 1
 
< 0.1%
7.476 1
 
< 0.1%
7.478 1
 
< 0.1%
7.516 12
< 0.1%
7.519 2
 
< 0.1%
ValueCountFrequency (%)
8.455 1
 
< 0.1%
8.414 1
 
< 0.1%
8.38 13
< 0.1%
8.374 25
0.1%
8.355 1
 
< 0.1%

UOWMANL
Real number (ℝ)

Distinct102
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.292238984
Minimum3.239
Maximum3.344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:42.340974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.239
5-th percentile3.271
Q13.283
median3.292
Q33.301
95-th percentile3.314
Maximum3.344
Range0.105
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.01307075975
Coefficient of variation (CV)0.003970173432
Kurtosis0.04748131054
Mean3.292238984
Median Absolute Deviation (MAD)0.009
Skewness0.03792973366
Sum119547.782
Variance0.0001708447604
MonotonicityNot monotonic
2024-08-10T10:45:42.650072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.291 1239
 
3.4%
3.293 1210
 
3.3%
3.29 1191
 
3.3%
3.295 1161
 
3.2%
3.288 1127
 
3.1%
3.286 1087
 
3.0%
3.298 1086
 
3.0%
3.296 1065
 
2.9%
3.284 1055
 
2.9%
3.294 1038
 
2.9%
Other values (92) 25053
69.0%
ValueCountFrequency (%)
3.239 1
 
< 0.1%
3.242 1
 
< 0.1%
3.244 1
 
< 0.1%
3.245 3
< 0.1%
3.246 2
< 0.1%
ValueCountFrequency (%)
3.344 1
 
< 0.1%
3.343 2
< 0.1%
3.342 2
< 0.1%
3.341 3
< 0.1%
3.34 1
 
< 0.1%

HTRZKGZ
Real number (ℝ)

Distinct36
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.147529549
Minimum1.13
Maximum1.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:42.950950image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.13
5-th percentile1.14
Q11.145
median1.148
Q31.151
95-th percentile1.155
Maximum1.21
Range0.08
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.004394812354
Coefficient of variation (CV)0.003829803212
Kurtosis0.969918658
Mean1.147529549
Median Absolute Deviation (MAD)0.003
Skewness0.01128190682
Sum41669.093
Variance1.931437563 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:43.247879image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1.148 3758
10.3%
1.146 3225
 
8.9%
1.15 3062
 
8.4%
1.145 2786
 
7.7%
1.147 2780
 
7.7%
1.149 2704
 
7.4%
1.151 2597
 
7.2%
1.143 2269
 
6.2%
1.153 2003
 
5.5%
1.144 1984
 
5.5%
Other values (26) 9144
25.2%
ValueCountFrequency (%)
1.13 1
 
< 0.1%
1.131 2
 
< 0.1%
1.132 6
 
< 0.1%
1.133 13
< 0.1%
1.134 23
0.1%
ValueCountFrequency (%)
1.21 1
 
< 0.1%
1.165 1
 
< 0.1%
1.163 4
 
< 0.1%
1.162 10
< 0.1%
1.161 17
< 0.1%

BEUAZOI
Real number (ℝ)

Distinct100
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.283570913
Minimum3.232
Maximum3.343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:43.555889image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.232
5-th percentile3.263
Q13.275
median3.284
Q33.292
95-th percentile3.304
Maximum3.343
Range0.111
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01251645322
Coefficient of variation (CV)0.003811841909
Kurtosis0.05295094339
Mean3.283570913
Median Absolute Deviation (MAD)0.008
Skewness0.05129271223
Sum119233.027
Variance0.0001566616011
MonotonicityNot monotonic
2024-08-10T10:45:43.861912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.285 1259
 
3.5%
3.283 1199
 
3.3%
3.288 1188
 
3.3%
3.282 1140
 
3.1%
3.287 1133
 
3.1%
3.281 1103
 
3.0%
3.284 1101
 
3.0%
3.28 1094
 
3.0%
3.279 1092
 
3.0%
3.277 1083
 
3.0%
Other values (90) 24920
68.6%
ValueCountFrequency (%)
3.232 1
 
< 0.1%
3.237 3
< 0.1%
3.238 1
 
< 0.1%
3.239 2
 
< 0.1%
3.24 6
< 0.1%
ValueCountFrequency (%)
3.343 1
 
< 0.1%
3.335 5
< 0.1%
3.334 1
 
< 0.1%
3.332 3
< 0.1%
3.331 1
 
< 0.1%

ACVSDTK
Real number (ℝ)

Distinct29
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9554498237
Minimum0.942
Maximum1.005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:44.180871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.942
5-th percentile0.95
Q10.953
median0.956
Q30.958
95-th percentile0.961
Maximum1.005
Range0.063
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.003435091878
Coefficient of variation (CV)0.003595261407
Kurtosis3.165271697
Mean0.9554498237
Median Absolute Deviation (MAD)0.002
Skewness0.1351374008
Sum34694.294
Variance1.179985621 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:44.432976image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.955 4248
11.7%
0.956 4243
11.7%
0.957 3852
10.6%
0.958 3503
9.6%
0.954 3493
9.6%
0.953 3049
8.4%
0.959 2628
7.2%
0.952 2541
7.0%
0.951 1804
 
5.0%
0.96 1732
 
4.8%
Other values (19) 5219
14.4%
ValueCountFrequency (%)
0.942 1
 
< 0.1%
0.943 5
 
< 0.1%
0.944 16
 
< 0.1%
0.945 38
0.1%
0.946 73
0.2%
ValueCountFrequency (%)
1.005 2
 
< 0.1%
1.003 1
 
< 0.1%
0.969 1
 
< 0.1%
0.967 3
 
< 0.1%
0.966 13
< 0.1%

SUPWXYD
Real number (ℝ)

Distinct47
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.796487607
Minimum1.774
Maximum1.825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:44.705383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.774
5-th percentile1.787
Q11.793
median1.796
Q31.8
95-th percentile1.806
Maximum1.825
Range0.051
Interquartile range (IQR)0.007

Descriptive statistics

Standard deviation0.005682705867
Coefficient of variation (CV)0.003163231321
Kurtosis0.04023071108
Mean1.796487607
Median Absolute Deviation (MAD)0.004
Skewness0.04434838743
Sum65234.058
Variance3.229314597 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:45.013404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1.796 2780
 
7.7%
1.795 2608
 
7.2%
1.799 2554
 
7.0%
1.794 2363
 
6.5%
1.798 2300
 
6.3%
1.8 2211
 
6.1%
1.797 2168
 
6.0%
1.793 1991
 
5.5%
1.792 1838
 
5.1%
1.791 1825
 
5.0%
Other values (37) 13674
37.7%
ValueCountFrequency (%)
1.774 1
 
< 0.1%
1.775 1
 
< 0.1%
1.776 1
 
< 0.1%
1.777 10
< 0.1%
1.778 13
< 0.1%
ValueCountFrequency (%)
1.825 3
< 0.1%
1.821 3
< 0.1%
1.819 2
< 0.1%
1.818 4
< 0.1%
1.816 4
< 0.1%

GVDVKJH
Real number (ℝ)

Distinct32
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.153483449
Minimum1.138
Maximum1.169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:45.322489image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.138
5-th percentile1.146
Q11.151
median1.154
Q31.156
95-th percentile1.16
Maximum1.169
Range0.031
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.004205406179
Coefficient of variation (CV)0.003645831401
Kurtosis-0.142553548
Mean1.153483449
Median Absolute Deviation (MAD)0.003
Skewness-0.08459148089
Sum41885.291
Variance1.768544113 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:45.610131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.156 3630
10.0%
1.154 3527
9.7%
1.153 3479
9.6%
1.151 3116
 
8.6%
1.152 2737
 
7.5%
1.155 2721
 
7.5%
1.158 2270
 
6.3%
1.15 2174
 
6.0%
1.157 2119
 
5.8%
1.149 1952
 
5.4%
Other values (22) 8587
23.6%
ValueCountFrequency (%)
1.138 4
 
< 0.1%
1.139 4
 
< 0.1%
1.14 15
 
< 0.1%
1.141 42
0.1%
1.142 68
0.2%
ValueCountFrequency (%)
1.169 4
 
< 0.1%
1.168 2
 
< 0.1%
1.167 10
 
< 0.1%
1.166 35
0.1%
1.165 57
0.2%

WFPEMDD
Real number (ℝ)

Distinct49
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9450283928
Minimum0.928
Maximum0.977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:45.894701image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.928
5-th percentile0.935
Q10.939
median0.945
Q30.95
95-th percentile0.956
Maximum0.977
Range0.049
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.006832913683
Coefficient of variation (CV)0.007230379251
Kurtosis-0.309782283
Mean0.9450283928
Median Absolute Deviation (MAD)0.005
Skewness0.2603737658
Sum34315.871
Variance4.66887094 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:46.216457image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.948 2179
 
6.0%
0.947 2110
 
5.8%
0.937 2005
 
5.5%
0.949 1993
 
5.5%
0.95 1894
 
5.2%
0.946 1880
 
5.2%
0.939 1832
 
5.0%
0.938 1804
 
5.0%
0.945 1727
 
4.8%
0.951 1712
 
4.7%
Other values (39) 17176
47.3%
ValueCountFrequency (%)
0.928 4
 
< 0.1%
0.929 7
 
< 0.1%
0.93 28
 
0.1%
0.931 80
0.2%
0.932 175
0.5%
ValueCountFrequency (%)
0.977 2
 
< 0.1%
0.975 2
 
< 0.1%
0.974 5
< 0.1%
0.973 2
 
< 0.1%
0.972 9
< 0.1%

JVRTMOD
Real number (ℝ)

Distinct50
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.6519251487
Minimum0.628
Maximum0.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:46.521162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.628
5-th percentile0.64
Q10.646
median0.653
Q30.656
95-th percentile0.665
Maximum0.68
Range0.052
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.007445831399
Coefficient of variation (CV)0.011421298
Kurtosis-0.09176955631
Mean0.6519251487
Median Absolute Deviation (MAD)0.005
Skewness0.05529132526
Sum23672.706
Variance5.544040523 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:46.859013image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.655 3341
 
9.2%
0.656 2909
 
8.0%
0.654 2663
 
7.3%
0.657 2540
 
7.0%
0.653 2038
 
5.6%
0.658 1710
 
4.7%
0.644 1345
 
3.7%
0.652 1295
 
3.6%
0.646 1243
 
3.4%
0.643 1182
 
3.3%
Other values (40) 16046
44.2%
ValueCountFrequency (%)
0.628 1
 
< 0.1%
0.63 2
 
< 0.1%
0.631 2
 
< 0.1%
0.632 8
< 0.1%
0.633 18
< 0.1%
ValueCountFrequency (%)
0.68 1
 
< 0.1%
0.677 8
 
< 0.1%
0.676 3
 
< 0.1%
0.675 24
0.1%
0.674 39
0.1%

XQGPAIG
Real number (ℝ)

Distinct92
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.717521178
Minimum5.294
Maximum6.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:47.237437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.294
5-th percentile5.517
Q15.608
median5.73
Q35.838
95-th percentile5.923
Maximum6.17
Range0.876
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.1367230684
Coefficient of variation (CV)0.02391299728
Kurtosis-0.5481833525
Mean5.717521178
Median Absolute Deviation (MAD)0.116
Skewness-0.07981390394
Sum207614.629
Variance0.01869319743
MonotonicityNot monotonic
2024-08-10T10:45:47.683152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.769 2457
 
6.8%
5.854 1982
 
5.5%
5.608 1945
 
5.4%
5.777 1712
 
4.7%
5.846 1619
 
4.5%
5.685 1559
 
4.3%
5.615 1491
 
4.1%
5.785 1412
 
3.9%
5.531 1396
 
3.8%
5.538 1111
 
3.1%
Other values (82) 19628
54.1%
ValueCountFrequency (%)
5.294 2
 
< 0.1%
5.335 15
 
< 0.1%
5.363 3
 
< 0.1%
5.37 101
0.3%
5.377 72
0.2%
ValueCountFrequency (%)
6.17 2
 
< 0.1%
6.101 2
 
< 0.1%
6.093 45
0.1%
6.085 94
0.3%
6.077 1
 
< 0.1%

BADESAP
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.341154439 × 10-5
Minimum0
Maximum0.001
Zeros35825
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:48.120443image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.001
Range0.001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001150306014
Coefficient of variation (CV)8.576983983
Kurtosis69.58596873
Mean1.341154439 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.460622676
Sum0.487
Variance1.323203927 × 10-8
MonotonicityNot monotonic
2024-08-10T10:45:50.218546image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 35825
98.7%
0.001 487
 
1.3%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 35825
98.7%
0.001 487
 
1.3%
ValueCountFrequency (%)
0.001 487
 
1.3%
0 35825
98.7%

OOBREVT
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.316369244 × 10-5
Minimum0
Maximum0.004
Zeros35839
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:50.574358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.004
Range0.004
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001161313263
Coefficient of variation (CV)8.822093558
Kurtosis114.958216
Mean1.316369244 × 10-5
Median Absolute Deviation (MAD)0
Skewness9.541129727
Sum0.478
Variance1.348648495 × 10-8
MonotonicityNot monotonic
2024-08-10T10:45:51.012680image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 35839
98.7%
0.001 471
 
1.3%
0.004 1
 
< 0.1%
0.003 1
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 35839
98.7%
0.001 471
 
1.3%
0.003 1
 
< 0.1%
0.004 1
 
< 0.1%
ValueCountFrequency (%)
0.004 1
 
< 0.1%
0.003 1
 
< 0.1%
0.001 471
 
1.3%
0 35839
98.7%

VOHXBZJ
Real number (ℝ)

Distinct410
Distinct (%)1.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.910328046
Minimum4.442
Maximum5.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:51.480406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.442
5-th percentile4.507
Q14.55
median5.095
Q35.125
95-th percentile5.157
Maximum5.22
Range0.778
Interquartile range (IQR)0.575

Descriptive statistics

Standard deviation0.2793807243
Coefficient of variation (CV)0.05689654982
Kurtosis-1.606096334
Mean4.910328046
Median Absolute Deviation (MAD)0.044
Skewness-0.5918180012
Sum178303.832
Variance0.07805358911
MonotonicityNot monotonic
2024-08-10T10:45:51.943868image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.121 466
 
1.3%
5.115 448
 
1.2%
5.109 437
 
1.2%
5.103 415
 
1.1%
5.127 411
 
1.1%
5.13 408
 
1.1%
5.124 406
 
1.1%
5.106 405
 
1.1%
5.112 385
 
1.1%
5.119 377
 
1.0%
Other values (400) 32154
88.5%
ValueCountFrequency (%)
4.442 1
< 0.1%
4.443 1
< 0.1%
4.447 1
< 0.1%
4.45 1
< 0.1%
4.452 2
< 0.1%
ValueCountFrequency (%)
5.22 1
 
< 0.1%
5.219 3
< 0.1%
5.216 2
< 0.1%
5.213 1
 
< 0.1%
5.211 2
< 0.1%

LFATORD
Real number (ℝ)

Distinct52
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.794562707
Minimum1.768
Maximum1.819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:52.271688image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.768
5-th percentile1.784
Q11.79
median1.795
Q31.799
95-th percentile1.805
Maximum1.819
Range0.051
Interquartile range (IQR)0.009

Descriptive statistics

Standard deviation0.006505072701
Coefficient of variation (CV)0.003624879018
Kurtosis-0.03646284362
Mean1.794562707
Median Absolute Deviation (MAD)0.004
Skewness-0.0549163946
Sum65164.161
Variance4.231597084 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:52.582476image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.795 2316
 
6.4%
1.796 2308
 
6.4%
1.792 2154
 
5.9%
1.794 2079
 
5.7%
1.791 2050
 
5.6%
1.793 1971
 
5.4%
1.799 1961
 
5.4%
1.798 1914
 
5.3%
1.797 1840
 
5.1%
1.8 1710
 
4.7%
Other values (42) 16009
44.1%
ValueCountFrequency (%)
1.768 2
 
< 0.1%
1.769 2
 
< 0.1%
1.77 5
< 0.1%
1.771 3
 
< 0.1%
1.772 8
< 0.1%
ValueCountFrequency (%)
1.819 1
 
< 0.1%
1.818 2
 
< 0.1%
1.817 8
< 0.1%
1.816 10
< 0.1%
1.815 17
< 0.1%

XLHIYUD
Real number (ℝ)

Distinct187
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.60166752
Minimum3.506
Maximum3.703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:52.880656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.506
5-th percentile3.553
Q13.577
median3.599
Q33.626
95-th percentile3.658
Maximum3.703
Range0.197
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.032778245
Coefficient of variation (CV)0.009100852539
Kurtosis-0.6494685623
Mean3.60166752
Median Absolute Deviation (MAD)0.024
Skewness0.2463230517
Sum130783.751
Variance0.001074413345
MonotonicityNot monotonic
2024-08-10T10:45:53.221763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.591 539
 
1.5%
3.599 506
 
1.4%
3.58 505
 
1.4%
3.618 502
 
1.4%
3.583 496
 
1.4%
3.588 483
 
1.3%
3.586 474
 
1.3%
3.575 462
 
1.3%
3.602 459
 
1.3%
3.578 455
 
1.3%
Other values (177) 31431
86.6%
ValueCountFrequency (%)
3.506 1
< 0.1%
3.51 2
< 0.1%
3.518 2
< 0.1%
3.519 1
< 0.1%
3.52 2
< 0.1%
ValueCountFrequency (%)
3.703 1
 
< 0.1%
3.701 2
< 0.1%
3.7 4
< 0.1%
3.699 2
< 0.1%
3.698 1
 
< 0.1%

OLNLGZK
Real number (ℝ)

Distinct97
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.208045302
Minimum3.161
Maximum3.264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:53.527884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.161
5-th percentile3.188
Q13.2
median3.208
Q33.216
95-th percentile3.228
Maximum3.264
Range0.103
Interquartile range (IQR)0.016

Descriptive statistics

Standard deviation0.01238956279
Coefficient of variation (CV)0.003862028628
Kurtosis0.06430190031
Mean3.208045302
Median Absolute Deviation (MAD)0.008
Skewness-0.02228730676
Sum116490.541
Variance0.0001535012662
MonotonicityNot monotonic
2024-08-10T10:45:53.832169image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.211 1294
 
3.6%
3.212 1189
 
3.3%
3.208 1181
 
3.3%
3.207 1166
 
3.2%
3.21 1163
 
3.2%
3.209 1148
 
3.2%
3.205 1144
 
3.2%
3.213 1138
 
3.1%
3.206 1113
 
3.1%
3.203 1106
 
3.0%
Other values (87) 24670
67.9%
ValueCountFrequency (%)
3.161 3
< 0.1%
3.162 1
 
< 0.1%
3.164 1
 
< 0.1%
3.165 1
 
< 0.1%
3.166 5
< 0.1%
ValueCountFrequency (%)
3.264 1
< 0.1%
3.262 1
< 0.1%
3.257 1
< 0.1%
3.256 2
< 0.1%
3.255 1
< 0.1%

VQGBZBI
Real number (ℝ)

Distinct111
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.269476729
Minimum3.2
Maximum3.332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:54.136038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.2
5-th percentile3.246
Q13.26
median3.269
Q33.279
95-th percentile3.293
Maximum3.332
Range0.132
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.01444343159
Coefficient of variation (CV)0.004417658478
Kurtosis-0.04498396635
Mean3.269476729
Median Absolute Deviation (MAD)0.01
Skewness0.04273772686
Sum118721.239
Variance0.0002086127162
MonotonicityNot monotonic
2024-08-10T10:45:54.473324image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.266 1120
 
3.1%
3.268 1116
 
3.1%
3.272 1032
 
2.8%
3.264 1013
 
2.8%
3.27 1012
 
2.8%
3.273 996
 
2.7%
3.275 994
 
2.7%
3.269 989
 
2.7%
3.271 912
 
2.5%
3.265 910
 
2.5%
Other values (101) 26218
72.2%
ValueCountFrequency (%)
3.2 1
 
< 0.1%
3.214 1
 
< 0.1%
3.218 5
< 0.1%
3.219 1
 
< 0.1%
3.22 1
 
< 0.1%
ValueCountFrequency (%)
3.332 1
< 0.1%
3.329 1
< 0.1%
3.328 1
< 0.1%
3.326 2
< 0.1%
3.325 2
< 0.1%

PUYNKTQ
Real number (ℝ)

Distinct2383
Distinct (%)6.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.08708057
Minimum30.4732133
Maximum47.32400372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:54.771179image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum30.4732133
5-th percentile34.2406027
Q136.31675794
median38.04249726
Q339.81424352
95-th percentile42
Maximum47.32400372
Range16.85079042
Interquartile range (IQR)3.497485577

Descriptive statistics

Standard deviation2.3996853
Coefficient of variation (CV)0.06300523074
Kurtosis-0.4199620793
Mean38.08708057
Median Absolute Deviation (MAD)1.76697868
Skewness0.06995302368
Sum1383018.07
Variance5.758489537
MonotonicityNot monotonic
2024-08-10T10:45:55.066122image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.625 276
 
0.8%
39.0625 180
 
0.5%
39.8125 179
 
0.5%
39.375 178
 
0.5%
39.125 177
 
0.5%
40.375 172
 
0.5%
41.8125 165
 
0.5%
39.1875 160
 
0.4%
41.125 160
 
0.4%
41.75 160
 
0.4%
Other values (2373) 34505
95.0%
ValueCountFrequency (%)
30.4732133 1
< 0.1%
30.72173961 1
< 0.1%
30.93269071 2
< 0.1%
31.08430153 1
< 0.1%
31.19947043 1
< 0.1%
ValueCountFrequency (%)
47.32400372 1
< 0.1%
47.26086957 1
< 0.1%
47.1875 1
< 0.1%
47 1
< 0.1%
46.87180333 2
< 0.1%

EGJUWUC
Real number (ℝ)

Distinct12534
Distinct (%)34.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.852717296
Minimum-0.666153677
Maximum9
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)< 0.1%
Memory size567.4 KiB
2024-08-10T10:45:55.384748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.666153677
5-th percentile3.278997228
Q14.771683553
median5.834076799
Q37
95-th percentile8.375
Maximum9
Range9.666153677
Interquartile range (IQR)2.228316447

Descriptive statistics

Standard deviation1.543409235
Coefficient of variation (CV)0.2637081474
Kurtosis-0.5276817023
Mean5.852717296
Median Absolute Deviation (MAD)1.118579596
Skewness-0.1121935997
Sum212523.8705
Variance2.382112067
MonotonicityNot monotonic
2024-08-10T10:45:55.675037image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.1875 257
 
0.7%
7.375 254
 
0.7%
5.8125 253
 
0.7%
5.9375 238
 
0.7%
5.875 237
 
0.7%
7 229
 
0.6%
5.5625 228
 
0.6%
6.9375 225
 
0.6%
6.0625 225
 
0.6%
5.6875 225
 
0.6%
Other values (12524) 33941
93.5%
ValueCountFrequency (%)
-0.666153677 1
< 0.1%
-0.2241683882 2
< 0.1%
0.09380263404 1
< 0.1%
0.4914357007 1
< 0.1%
0.7955365934 1
< 0.1%
ValueCountFrequency (%)
9 92
0.3%
8.9998362 1
 
< 0.1%
8.999493298 1
 
< 0.1%
8.999095717 2
 
< 0.1%
8.999091275 1
 
< 0.1%

XJTQVGI
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7
Minimum7
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:55.910522image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean7
Median Absolute Deviation (MAD)0
Skewness0
Sum254184
Variance0
MonotonicityIncreasing
2024-08-10T10:45:56.113503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
7 36312
> 99.9%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
7 36312
> 99.9%
ValueCountFrequency (%)
7 36312
> 99.9%

RLHGEVY
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.06339502093
Minimum0
Maximum4
Zeros34213
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:56.336184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2691312375
Coefficient of variation (CV)4.245305601
Kurtosis29.27299026
Mean0.06339502093
Median Absolute Deviation (MAD)0
Skewness4.863776043
Sum2302
Variance0.07243162297
MonotonicityNot monotonic
2024-08-10T10:45:56.554800image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 34213
94.2%
1 1926
 
5.3%
2 147
 
0.4%
3 22
 
0.1%
4 4
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 34213
94.2%
1 1926
 
5.3%
2 147
 
0.4%
3 22
 
0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
4 4
 
< 0.1%
3 22
 
0.1%
2 147
 
0.4%
1 1926
 
5.3%
0 34213
94.2%

PUBVMLA
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.982518368
Minimum4.9368
Maximum5.04328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:56.815237image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.9368
5-th percentile4.94648
Q14.96584
median4.9852
Q34.99488
95-th percentile5.01424
Maximum5.04328
Range0.10648
Interquartile range (IQR)0.02904

Descriptive statistics

Standard deviation0.01868977436
Coefficient of variation (CV)0.003751069837
Kurtosis-0.281658903
Mean4.982518368
Median Absolute Deviation (MAD)0.00968
Skewness-0.1137887003
Sum180935.172
Variance0.0003493076657
MonotonicityNot monotonic
2024-08-10T10:45:57.052549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4.9852 8244
22.7%
4.99488 6540
18.0%
4.97552 6031
16.6%
4.96584 4366
12.0%
5.00456 3198
 
8.8%
4.95616 2833
 
7.8%
5.01424 2514
 
6.9%
4.94648 1754
 
4.8%
4.9368 424
 
1.2%
5.0336 218
 
0.6%
Other values (2) 192
 
0.5%
ValueCountFrequency (%)
4.9368 424
 
1.2%
4.94648 1754
 
4.8%
4.95616 2833
7.8%
4.96584 4366
12.0%
4.97552 6031
16.6%
ValueCountFrequency (%)
5.04328 1
 
< 0.1%
5.0336 218
 
0.6%
5.02392 191
 
0.5%
5.01424 2514
6.9%
5.00456 3198
8.8%

OOFAOBD
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.062629871
Minimum5.00456
Maximum5.12072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:57.280584image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.00456
5-th percentile5.0336
Q15.04328
median5.06264
Q35.082
95-th percentile5.09168
Maximum5.12072
Range0.11616
Interquartile range (IQR)0.03872

Descriptive statistics

Standard deviation0.02083103054
Coefficient of variation (CV)0.00411466591
Kurtosis-0.6666801124
Mean5.062629871
Median Absolute Deviation (MAD)0.01936
Skewness0.02537952176
Sum183844.3411
Variance0.0004339318334
MonotonicityNot monotonic
2024-08-10T10:45:57.545679image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5.05296 6172
17.0%
5.07232 5860
16.1%
5.06264 4936
13.6%
5.082 4670
12.9%
5.04328 4580
12.6%
5.0336 3724
10.3%
5.09168 3255
9.0%
5.10136 1405
 
3.9%
5.02392 1158
 
3.2%
5.11104 332
 
0.9%
Other values (3) 222
 
0.6%
ValueCountFrequency (%)
5.00456 125
 
0.3%
5.01424 89
 
0.2%
5.02392 1158
 
3.2%
5.0336 3724
10.3%
5.04328 4580
12.6%
ValueCountFrequency (%)
5.12072 8
 
< 0.1%
5.11104 332
 
0.9%
5.10136 1405
 
3.9%
5.09168 3255
9.0%
5.082 4670
12.9%

UDQVDVI
Real number (ℝ)

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.06987404
Minimum11.506
Maximum12.364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:57.818017image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum11.506
5-th percentile11.902
Q111.99
median12.056
Q312.144
95-th percentile12.254
Maximum12.364
Range0.858
Interquartile range (IQR)0.154

Descriptive statistics

Standard deviation0.1107315923
Coefficient of variation (CV)0.009174212744
Kurtosis0.4188089038
Mean12.06987404
Median Absolute Deviation (MAD)0.088
Skewness-0.07721152745
Sum438305.406
Variance0.01226148553
MonotonicityNot monotonic
2024-08-10T10:45:58.106955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
12.056 3776
 
10.4%
12.078 2982
 
8.2%
12.012 2866
 
7.9%
12.034 2683
 
7.4%
12.21 2645
 
7.3%
11.946 2572
 
7.1%
12.144 2307
 
6.4%
12.166 2297
 
6.3%
11.99 2295
 
6.3%
11.968 2154
 
5.9%
Other values (30) 9737
26.8%
ValueCountFrequency (%)
11.506 8
< 0.1%
11.528 1
 
< 0.1%
11.55 10
< 0.1%
11.572 9
< 0.1%
11.594 12
< 0.1%
ValueCountFrequency (%)
12.364 19
 
0.1%
12.342 100
 
0.3%
12.32 532
1.5%
12.298 420
1.2%
12.276 380
1.0%

AGLJDAB
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.897781982
Minimum4.83032
Maximum4.9368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:58.392939image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.83032
5-th percentile4.86904
Q14.8884
median4.89808
Q34.90776
95-th percentile4.91744
Maximum4.9368
Range0.10648
Interquartile range (IQR)0.01936

Descriptive statistics

Standard deviation0.0158154451
Coefficient of variation (CV)0.003229103534
Kurtosis-0.1373412125
Mean4.897781982
Median Absolute Deviation (MAD)0.00968
Skewness-0.3086690059
Sum177858.0549
Variance0.0002501283038
MonotonicityNot monotonic
2024-08-10T10:45:58.618305image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4.90776 7800
21.5%
4.8884 7720
21.3%
4.89808 7627
21.0%
4.91744 4996
13.8%
4.87872 4049
11.1%
4.92712 1715
 
4.7%
4.86904 1662
 
4.6%
4.85936 415
 
1.1%
4.84968 321
 
0.9%
4.9368 7
 
< 0.1%
ValueCountFrequency (%)
4.83032 2
 
< 0.1%
4.84968 321
 
0.9%
4.85936 415
 
1.1%
4.86904 1662
4.6%
4.87872 4049
11.1%
ValueCountFrequency (%)
4.9368 7
 
< 0.1%
4.92712 1715
 
4.7%
4.91744 4996
13.8%
4.90776 7800
21.5%
4.89808 7627
21.0%

BDROJVQ
Real number (ℝ)

SKEWED 

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.033372473
Minimum1.936
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:58.846358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.936
5-th percentile3.016
Q13.028
median3.032
Q33.04
95-th percentile3.048
Maximum3.068
Range1.132
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.01039366139
Coefficient of variation (CV)0.003426437566
Kurtosis3421.252534
Mean3.033372473
Median Absolute Deviation (MAD)0.004
Skewness-32.64781439
Sum110153.888
Variance0.0001080281972
MonotonicityNot monotonic
2024-08-10T10:45:59.085563image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3.032 8384
23.1%
3.036 7250
20.0%
3.04 4767
13.1%
3.028 3960
10.9%
3.044 3503
9.6%
3.024 3083
 
8.5%
3.048 1659
 
4.6%
3.016 1300
 
3.6%
3.02 992
 
2.7%
3.012 499
 
1.4%
Other values (6) 917
 
2.5%
ValueCountFrequency (%)
1.936 1
 
< 0.1%
3.008 478
 
1.3%
3.012 499
 
1.4%
3.016 1300
3.6%
3.02 992
2.7%
ValueCountFrequency (%)
3.068 5
 
< 0.1%
3.06 97
 
0.3%
3.056 66
 
0.2%
3.052 270
 
0.7%
3.048 1659
4.6%

UXZNNNB
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.49517927
Minimum2.48
Maximum2.508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:59.314231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.48
5-th percentile2.488
Q12.492
median2.496
Q32.5
95-th percentile2.504
Maximum2.508
Range0.028
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.004569643194
Coefficient of variation (CV)0.00183138873
Kurtosis0.2153245275
Mean2.49517927
Median Absolute Deviation (MAD)0.004
Skewness0.01634400395
Sum90609.94
Variance2.088163892 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:59.541625image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2.492 12992
35.8%
2.496 10709
29.5%
2.5 7607
20.9%
2.504 1891
 
5.2%
2.488 1482
 
4.1%
2.484 1275
 
3.5%
2.508 339
 
0.9%
2.48 19
 
0.1%
ValueCountFrequency (%)
2.48 19
 
0.1%
2.484 1275
 
3.5%
2.488 1482
 
4.1%
2.492 12992
35.8%
2.496 10709
29.5%
ValueCountFrequency (%)
2.508 339
 
0.9%
2.504 1891
 
5.2%
2.5 7607
20.9%
2.496 10709
29.5%
2.492 12992
35.8%

SDEUDHY
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9263938977
Minimum0.908
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:45:59.759054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.908
5-th percentile0.916
Q10.924
median0.928
Q30.932
95-th percentile0.936
Maximum0.944
Range0.036
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.00613184097
Coefficient of variation (CV)0.00661904292
Kurtosis-0.521579595
Mean0.9263938977
Median Absolute Deviation (MAD)0.004
Skewness-0.03616344072
Sum33641.068
Variance3.759947368 × 10-5
MonotonicityNot monotonic
2024-08-10T10:45:59.996846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.928 8962
24.7%
0.924 8738
24.1%
0.932 5792
15.9%
0.92 4674
12.9%
0.936 3714
10.2%
0.916 3328
 
9.2%
0.94 650
 
1.8%
0.912 437
 
1.2%
0.944 18
 
< 0.1%
0.908 1
 
< 0.1%
ValueCountFrequency (%)
0.908 1
 
< 0.1%
0.912 437
 
1.2%
0.916 3328
 
9.2%
0.92 4674
12.9%
0.924 8738
24.1%
ValueCountFrequency (%)
0.944 18
 
< 0.1%
0.94 650
 
1.8%
0.936 3714
10.2%
0.932 5792
15.9%
0.928 8962
24.7%

ZSGPKXD
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.324277028
Minimum3.3
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:00.235778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.312
Q13.32
median3.324
Q33.328
95-th percentile3.336
Maximum3.352
Range0.052
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007731706333
Coefficient of variation (CV)0.00232583093
Kurtosis-0.1469310709
Mean3.324277028
Median Absolute Deviation (MAD)0.004
Skewness-0.07815987813
Sum120717.796
Variance5.977928282 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:00.504868image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.328 7667
21.1%
3.324 6850
18.9%
3.32 5610
15.4%
3.316 5285
14.6%
3.332 4369
12.0%
3.336 2418
 
6.7%
3.312 1523
 
4.2%
3.34 961
 
2.6%
3.308 885
 
2.4%
3.304 442
 
1.2%
Other values (4) 304
 
0.8%
ValueCountFrequency (%)
3.3 3
 
< 0.1%
3.304 442
 
1.2%
3.308 885
 
2.4%
3.312 1523
 
4.2%
3.316 5285
14.6%
ValueCountFrequency (%)
3.352 1
 
< 0.1%
3.348 22
 
0.1%
3.344 278
 
0.8%
3.34 961
 
2.6%
3.336 2418
6.7%

INLEXOC
Real number (ℝ)

Distinct31
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.05014595
Minimum22
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:00.756245image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24.5
Q126.5
median28.25
Q329.5
95-th percentile31.5
Maximum37
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.206825582
Coefficient of variation (CV)0.07867429947
Kurtosis-0.4216543307
Mean28.05014595
Median Absolute Deviation (MAD)1.75
Skewness-0.03355120855
Sum1018613
Variance4.870079151
MonotonicityNot monotonic
2024-08-10T10:46:01.012737image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
28.5 3687
 
10.2%
29 3442
 
9.5%
28 3410
 
9.4%
29.5 3166
 
8.7%
30 2576
 
7.1%
27.5 2495
 
6.9%
25.5 2047
 
5.6%
26 1872
 
5.2%
27 1840
 
5.1%
26.5 1749
 
4.8%
Other values (21) 10030
27.6%
ValueCountFrequency (%)
22 1
 
< 0.1%
22.5 19
 
0.1%
23 150
 
0.4%
23.5 452
1.2%
24 874
2.4%
ValueCountFrequency (%)
37 1
 
< 0.1%
36.5 2
 
< 0.1%
36 9
< 0.1%
35.5 21
0.1%
35 10
< 0.1%

PIFCYQL
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.308359978
Minimum3.27352
Maximum3.34656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:01.278176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.27352
5-th percentile3.28016
Q13.30008
median3.30672
Q33.32
95-th percentile3.33328
Maximum3.34656
Range0.07304
Interquartile range (IQR)0.01992

Descriptive statistics

Standard deviation0.0148515303
Coefficient of variation (CV)0.004489091392
Kurtosis-0.470449958
Mean3.308359978
Median Absolute Deviation (MAD)0.00664
Skewness-0.005322706032
Sum120139.7842
Variance0.0002205679522
MonotonicityNot monotonic
2024-08-10T10:46:01.530248image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.30672 7194
19.8%
3.31336 6770
18.6%
3.30008 4958
13.7%
3.32664 4199
11.6%
3.29344 3037
8.4%
3.32 2861
 
7.9%
3.28016 2419
 
6.7%
3.2868 2275
 
6.3%
3.33328 1708
 
4.7%
3.33992 711
 
2.0%
Other values (2) 182
 
0.5%
ValueCountFrequency (%)
3.27352 6
 
< 0.1%
3.28016 2419
6.7%
3.2868 2275
6.3%
3.29344 3037
8.4%
3.30008 4958
13.7%
ValueCountFrequency (%)
3.34656 176
 
0.5%
3.33992 711
 
2.0%
3.33328 1708
4.7%
3.32664 4199
11.6%
3.32 2861
7.9%

XOGKHIO
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean663.2038169
Minimum19
Maximum3027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:01.774151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median1003
Q31003
95-th percentile1003
Maximum3027
Range3008
Interquartile range (IQR)984

Descriptive statistics

Standard deviation495.0138618
Coefficient of variation (CV)0.7463977878
Kurtosis0.3921543917
Mean663.2038169
Median Absolute Deviation (MAD)0
Skewness-0.1051196809
Sum24082257
Variance245038.7234
MonotonicityNot monotonic
2024-08-10T10:46:02.014623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1003 23295
64.1%
19 12772
35.2%
3027 156
 
0.4%
28 89
 
0.2%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
19 12772
35.2%
28 89
 
0.2%
1003 23295
64.1%
3027 156
 
0.4%
ValueCountFrequency (%)
3027 156
 
0.4%
1003 23295
64.1%
28 89
 
0.2%
19 12772
35.2%

HDNPBLR
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean153.5021481
Minimum140
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:02.368114image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile150
Q1150
median150
Q3160
95-th percentile160
Maximum160
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.802083376
Coefficient of variation (CV)0.03128349301
Kurtosis-1.543186716
Mean153.5021481
Median Absolute Deviation (MAD)0
Skewness0.586928975
Sum5573970
Variance23.06000475
MonotonicityNot monotonic
2024-08-10T10:46:02.790932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
150 23485
64.7%
160 12772
35.2%
140 55
 
0.2%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
140 55
 
0.2%
150 23485
64.7%
160 12772
35.2%
ValueCountFrequency (%)
160 12772
35.2%
150 23485
64.7%
140 55
 
0.2%

VMYGDBS
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean47
Minimum47
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:03.203875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile47
Q147
median47
Q347
95-th percentile47
Maximum47
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean47
Median Absolute Deviation (MAD)0
Skewness0
Sum1706664
Variance0
MonotonicityIncreasing
2024-08-10T10:46:03.497837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
47 36312
> 99.9%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
47 36312
> 99.9%
ValueCountFrequency (%)
47 36312
> 99.9%

HVTWAZN
Real number (ℝ)

Distinct6924
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3337.035826
Minimum0
Maximum7000
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:03.855874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile332
Q11578
median3171
Q35104
95-th percentile6661
Maximum7000
Range7000
Interquartile range (IQR)3526

Descriptive statistics

Standard deviation2036.949742
Coefficient of variation (CV)0.6104069145
Kurtosis-1.209758357
Mean3337.035826
Median Absolute Deviation (MAD)1753
Skewness0.1353928417
Sum121181119
Variance4149164.253
MonotonicityNot monotonic
2024-08-10T10:46:04.362149image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1749 18
 
< 0.1%
2094 16
 
< 0.1%
1904 16
 
< 0.1%
6136 16
 
< 0.1%
1456 16
 
< 0.1%
2098 16
 
< 0.1%
1693 15
 
< 0.1%
805 15
 
< 0.1%
1118 15
 
< 0.1%
105 15
 
< 0.1%
Other values (6914) 36156
99.6%
ValueCountFrequency (%)
0 3
< 0.1%
1 7
< 0.1%
2 7
< 0.1%
3 7
< 0.1%
4 6
< 0.1%
ValueCountFrequency (%)
7000 2
 
< 0.1%
6999 2
 
< 0.1%
6998 6
< 0.1%
6997 4
< 0.1%
6996 9
< 0.1%

JZVNCXT
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean14.56814093
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:04.792196image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q115
median15
Q315
95-th percentile15
Maximum80
Range79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.909586146
Coefficient of variation (CV)0.1310796041
Kurtosis56.70427041
Mean14.56814093
Median Absolute Deviation (MAD)0
Skewness-0.9404693886
Sum429192
Variance3.646519249
MonotonicityNot monotonic
2024-08-10T10:46:05.259141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
15 27296
75.2%
8 1816
 
5.0%
24 126
 
0.3%
10 60
 
0.2%
14 35
 
0.1%
6 28
 
0.1%
7 21
 
0.1%
12 17
 
< 0.1%
9 16
 
< 0.1%
13 13
 
< 0.1%
Other values (8) 33
 
0.1%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 3
 
< 0.1%
3 6
< 0.1%
4 9
< 0.1%
5 6
< 0.1%
ValueCountFrequency (%)
80 1
 
< 0.1%
26 2
 
< 0.1%
24 126
 
0.3%
15 27296
75.2%
14 35
 
0.1%

JMFGDPB
Real number (ℝ)

MISSING 

Distinct4306
Distinct (%)14.6%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean1535.969247
Minimum0
Maximum5587
Zeros12
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:05.644377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile122
Q1656
median1396
Q32273
95-th percentile3468
Maximum5587
Range5587
Interquartile range (IQR)1617

Descriptive statistics

Standard deviation1068.970066
Coefficient of variation (CV)0.6959579873
Kurtosis0.2668049068
Mean1535.969247
Median Absolute Deviation (MAD)797
Skewness0.7296722896
Sum45251190
Variance1142697.002
MonotonicityNot monotonic
2024-08-10T10:46:06.058741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 59
 
0.2%
259 22
 
0.1%
1047 22
 
0.1%
223 21
 
0.1%
1936 21
 
0.1%
727 21
 
0.1%
241 20
 
0.1%
258 20
 
0.1%
1866 20
 
0.1%
880 20
 
0.1%
Other values (4296) 29215
80.5%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
0 12
< 0.1%
1 12
< 0.1%
2 10
< 0.1%
3 17
< 0.1%
4 10
< 0.1%
ValueCountFrequency (%)
5587 1
< 0.1%
5583 1
< 0.1%
5576 1
< 0.1%
5561 1
< 0.1%
5521 1
< 0.1%

SETVSTN
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean6.778147381
Minimum0
Maximum15
Zeros2042
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:06.501509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q311
95-th percentile14
Maximum15
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.318607694
Coefficient of variation (CV)0.6371368828
Kurtosis-1.197671132
Mean6.778147381
Median Absolute Deviation (MAD)4
Skewness0.08334621549
Sum199691
Variance18.65037241
MonotonicityNot monotonic
2024-08-10T10:46:06.953904image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 2148
 
5.9%
1 2100
 
5.8%
5 2076
 
5.7%
3 2064
 
5.7%
4 2058
 
5.7%
6 2046
 
5.6%
0 2042
 
5.6%
7 2031
 
5.6%
10 1881
 
5.2%
8 1867
 
5.1%
Other values (6) 9148
25.2%
(Missing) 6853
18.9%
ValueCountFrequency (%)
0 2042
5.6%
1 2100
5.8%
2 2148
5.9%
3 2064
5.7%
4 2058
5.7%
ValueCountFrequency (%)
15 53
 
0.1%
14 1815
5.0%
13 1837
5.1%
12 1845
5.1%
11 1822
5.0%

DUOKWOI
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean3065.614813
Minimum50
Maximum5600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:07.326975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile1200
Q13000
median3000
Q33000
95-th percentile5000
Maximum5600
Range5550
Interquartile range (IQR)0

Descriptive statistics

Standard deviation915.6170576
Coefficient of variation (CV)0.2986732233
Kurtosis1.310462984
Mean3065.614813
Median Absolute Deviation (MAD)0
Skewness0.07451526481
Sum90316078
Variance838354.5962
MonotonicityNot monotonic
2024-08-10T10:46:07.540255image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3000 16297
44.9%
2000 2846
 
7.8%
4000 2779
 
7.7%
5000 1885
 
5.2%
3932 1489
 
4.1%
1000 970
 
2.7%
2922 580
 
1.6%
2600 572
 
1.6%
2500 511
 
1.4%
5600 381
 
1.0%
Other values (9) 1151
 
3.2%
(Missing) 6853
18.9%
ValueCountFrequency (%)
50 16
 
< 0.1%
70 88
 
0.2%
80 3
 
< 0.1%
100 49
 
0.1%
915 296
0.8%
ValueCountFrequency (%)
5600 381
 
1.0%
5000 1885
 
5.2%
4000 2779
 
7.7%
3932 1489
 
4.1%
3000 16297
44.9%

YPMGCVT
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:07.763224image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:46:07.994841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

SBUETBP
Real number (ℝ)

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2120.976483
Minimum2099
Maximum2127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:08.241195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2099
5-th percentile2113
Q12118
median2122
Q32124
95-th percentile2126
Maximum2127
Range28
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.830561334
Coefficient of variation (CV)0.001806036684
Kurtosis-0.05564629705
Mean2120.976483
Median Absolute Deviation (MAD)2
Skewness-0.5948176554
Sum77021140
Variance14.67320013
MonotonicityNot monotonic
2024-08-10T10:46:08.470552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2124 5691
15.7%
2116 3967
10.9%
2123 3942
10.9%
2122 3908
10.8%
2126 3610
9.9%
2120 3081
8.5%
2119 2516
6.9%
2118 2467
6.8%
2121 2087
 
5.7%
2113 2044
 
5.6%
Other values (14) 3001
8.3%
ValueCountFrequency (%)
2099 2
 
< 0.1%
2101 3
 
< 0.1%
2102 5
 
< 0.1%
2104 35
0.1%
2105 1
 
< 0.1%
ValueCountFrequency (%)
2127 1125
 
3.1%
2126 3610
9.9%
2125 883
 
2.4%
2124 5691
15.7%
2123 3942
10.9%

WSRRROM
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.037396046
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:08.696296image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2045402217
Coefficient of variation (CV)0.1971669572
Kurtosis48.48227882
Mean1.037396046
Median Absolute Deviation (MAD)0
Skewness6.229530821
Sum37672
Variance0.04183670228
MonotonicityNot monotonic
2024-08-10T10:46:08.949849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 35045
96.5%
2 1195
 
3.3%
3 61
 
0.2%
4 11
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
1 35045
96.5%
2 1195
 
3.3%
3 61
 
0.2%
4 11
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
5 2
 
< 0.1%
4 11
 
< 0.1%
3 61
 
0.2%
2 1195
 
3.3%
1 35045
96.5%

HTMOHRO
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:09.194256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:46:09.391520image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

EWKETJA
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros36313
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:09.602295image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-08-10T10:46:09.795633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 36313
> 99.9%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
0 36313
> 99.9%
ValueCountFrequency (%)
0 36313
> 99.9%

RLWEKLY
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.32986743
Minimum3.308
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:10.033940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.316
Q13.324
median3.332
Q33.336
95-th percentile3.344
Maximum3.352
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007805985217
Coefficient of variation (CV)0.00234423303
Kurtosis-0.2041525846
Mean3.32986743
Median Absolute Deviation (MAD)0.004
Skewness-0.2526434128
Sum120917.476
Variance6.093340521 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:10.254500image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.332 7745
21.3%
3.336 6520
18.0%
3.328 5941
16.4%
3.324 5026
13.8%
3.32 4098
11.3%
3.34 2930
 
8.1%
3.344 1724
 
4.7%
3.312 1135
 
3.1%
3.316 696
 
1.9%
3.348 269
 
0.7%
Other values (2) 229
 
0.6%
ValueCountFrequency (%)
3.308 217
 
0.6%
3.312 1135
 
3.1%
3.316 696
 
1.9%
3.32 4098
11.3%
3.324 5026
13.8%
ValueCountFrequency (%)
3.352 12
 
< 0.1%
3.348 269
 
0.7%
3.344 1724
 
4.7%
3.34 2930
8.1%
3.336 6520
18.0%

ZYSZYYQ
Real number (ℝ)

Distinct27
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1920912621
Minimum0.07
Maximum0.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:10.485263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.15
Q10.18
median0.19
Q30.21
95-th percentile0.23
Maximum0.33
Range0.26
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.026044595
Coefficient of variation (CV)0.1355844858
Kurtosis3.634676628
Mean0.1920912621
Median Absolute Deviation (MAD)0.01
Skewness-0.3769613788
Sum6975.41
Variance0.0006783209285
MonotonicityNot monotonic
2024-08-10T10:46:10.739682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.19 7579
20.9%
0.2 7251
20.0%
0.18 5616
15.5%
0.21 4902
13.5%
0.17 3180
8.8%
0.22 2464
 
6.8%
0.16 1205
 
3.3%
0.23 1109
 
3.1%
0.12 410
 
1.1%
0.24 385
 
1.1%
Other values (17) 2212
 
6.1%
ValueCountFrequency (%)
0.07 6
 
< 0.1%
0.08 17
 
< 0.1%
0.09 79
 
0.2%
0.1 202
0.6%
0.11 366
1.0%
ValueCountFrequency (%)
0.33 2
 
< 0.1%
0.32 9
 
< 0.1%
0.31 20
 
0.1%
0.3 62
0.2%
0.29 110
0.3%

DYALNZJ
Real number (ℝ)

Distinct26
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.46347038
Minimum14
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:11.003072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30
Q136
median38
Q342
95-th percentile46
Maximum64
Range50
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.176302924
Coefficient of variation (CV)0.1345771162
Kurtosis3.542151305
Mean38.46347038
Median Absolute Deviation (MAD)2
Skewness-0.3642332005
Sum1396724
Variance26.79411196
MonotonicityNot monotonic
2024-08-10T10:46:11.269434image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
38 7670
21.1%
40 7185
19.8%
36 5658
15.6%
42 4951
13.6%
34 3095
8.5%
44 2448
 
6.7%
46 1166
 
3.2%
32 1118
 
3.1%
24 400
 
1.1%
48 386
 
1.1%
Other values (16) 2236
 
6.2%
ValueCountFrequency (%)
14 1
 
< 0.1%
16 15
 
< 0.1%
18 61
 
0.2%
20 213
0.6%
22 347
1.0%
ValueCountFrequency (%)
64 6
 
< 0.1%
62 16
 
< 0.1%
60 77
0.2%
58 96
0.3%
56 137
0.4%

YYOFIUW
Real number (ℝ)

Distinct186
Distinct (%)0.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1280069313
Minimum0.040032
Maximum0.219912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:11.537602image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.040032
5-th percentile0.09996
Q10.119952
median0.126768
Q30.13944
95-th percentile0.15272
Maximum0.219912
Range0.17988
Interquartile range (IQR)0.019488

Descriptive statistics

Standard deviation0.01731135204
Coefficient of variation (CV)0.1352376146
Kurtosis3.631173278
Mean0.1280069313
Median Absolute Deviation (MAD)0.00696
Skewness-0.3685045817
Sum4648.315696
Variance0.0002996829093
MonotonicityNot monotonic
2024-08-10T10:46:11.831155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.126616 1536
 
4.2%
0.13328 1462
 
4.0%
0.13344 1388
 
3.8%
0.126464 1367
 
3.8%
0.126768 1316
 
3.6%
0.13312 1179
 
3.2%
0.126312 1171
 
3.2%
0.119952 1158
 
3.2%
0.13296 1088
 
3.0%
0.119808 1037
 
2.9%
Other values (176) 23611
65.0%
ValueCountFrequency (%)
0.040032 1
 
< 0.1%
0.046648 1
 
< 0.1%
0.053312 12
 
< 0.1%
0.053376 6
 
< 0.1%
0.059976 59
0.2%
ValueCountFrequency (%)
0.219912 3
 
< 0.1%
0.213504 3
 
< 0.1%
0.213248 5
 
< 0.1%
0.206832 11
< 0.1%
0.206584 22
0.1%

KMEKHII
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.325254647
Minimum3.304
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:12.150105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.312
Q13.32
median3.324
Q33.332
95-th percentile3.336
Maximum3.348
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007755386515
Coefficient of variation (CV)0.002332268454
Kurtosis-0.1707286141
Mean3.325254647
Median Absolute Deviation (MAD)0.004
Skewness-0.2496229797
Sum120749.972
Variance6.014602 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:12.367633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.328 8237
22.7%
3.324 6384
17.6%
3.332 5418
14.9%
3.32 4829
13.3%
3.316 4639
12.8%
3.336 3026
 
8.3%
3.34 1212
 
3.3%
3.308 1079
 
3.0%
3.312 898
 
2.5%
3.304 345
 
1.0%
Other values (2) 246
 
0.7%
ValueCountFrequency (%)
3.304 345
 
1.0%
3.308 1079
 
3.0%
3.312 898
 
2.5%
3.316 4639
12.8%
3.32 4829
13.3%
ValueCountFrequency (%)
3.348 3
 
< 0.1%
3.344 243
 
0.7%
3.34 1212
 
3.3%
3.336 3026
8.3%
3.332 5418
14.9%

RAGOFAC
Real number (ℝ)

Distinct79
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.429136397
Minimum1.1
Maximum1.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:12.628978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.1
5-th percentile1.25
Q11.32
median1.4
Q31.53
95-th percentile1.67
Maximum1.97
Range0.87
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1331953996
Coefficient of variation (CV)0.09319992117
Kurtosis-0.6780622057
Mean1.429136397
Median Absolute Deviation (MAD)0.1
Skewness0.4683826098
Sum51896.23
Variance0.01774101447
MonotonicityNot monotonic
2024-08-10T10:46:12.919308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.32 1443
 
4.0%
1.33 1304
 
3.6%
1.31 1302
 
3.6%
1.34 1244
 
3.4%
1.35 1180
 
3.2%
1.3 1175
 
3.2%
1.37 1144
 
3.2%
1.36 1139
 
3.1%
1.29 1066
 
2.9%
1.28 1055
 
2.9%
Other values (69) 24261
66.8%
ValueCountFrequency (%)
1.1 1
 
< 0.1%
1.11 1
 
< 0.1%
1.12 2
 
< 0.1%
1.13 4
 
< 0.1%
1.14 11
< 0.1%
ValueCountFrequency (%)
1.97 1
 
< 0.1%
1.89 1
 
< 0.1%
1.87 1
 
< 0.1%
1.85 4
< 0.1%
1.84 7
< 0.1%

IWHIYNA
Real number (ℝ)

Distinct81
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean285.8268939
Minimum218
Maximum390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:13.231332image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum218
5-th percentile250
Q1264
median280
Q3306
95-th percentile334
Maximum390
Range172
Interquartile range (IQR)42

Descriptive statistics

Standard deviation26.66795608
Coefficient of variation (CV)0.09330107364
Kurtosis-0.6788496244
Mean285.8268939
Median Absolute Deviation (MAD)20
Skewness0.4695005294
Sum10379232
Variance711.1798815
MonotonicityNot monotonic
2024-08-10T10:46:13.523105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262 1340
 
3.7%
266 1339
 
3.7%
264 1313
 
3.6%
268 1261
 
3.5%
270 1253
 
3.5%
260 1179
 
3.2%
256 1117
 
3.1%
258 1095
 
3.0%
272 1088
 
3.0%
274 1039
 
2.9%
Other values (71) 24289
66.9%
ValueCountFrequency (%)
218 1
 
< 0.1%
220 1
 
< 0.1%
222 1
 
< 0.1%
224 5
< 0.1%
226 3
< 0.1%
ValueCountFrequency (%)
390 1
 
< 0.1%
380 1
 
< 0.1%
374 2
< 0.1%
372 3
< 0.1%
370 3
< 0.1%

PHWLHGO
Real number (ℝ)

Distinct679
Distinct (%)1.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9505288259
Minimum0.745472
Maximum1.311232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:13.814936image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.745472
5-th percentile0.832
Q10.878592
median0.93184
Q31.018368
95-th percentile1.110216
Maximum1.311232
Range0.56576
Interquartile range (IQR)0.139776

Descriptive statistics

Standard deviation0.08861162636
Coefficient of variation (CV)0.09322350247
Kurtosis-0.6769115013
Mean0.9505288259
Median Absolute Deviation (MAD)0.06536
Skewness0.471576821
Sum34516.55326
Variance0.007852020326
MonotonicityNot monotonic
2024-08-10T10:46:14.123235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.891904 281
 
0.8%
0.878592 272
 
0.7%
0.905216 264
 
0.7%
0.86528 263
 
0.7%
0.885248 262
 
0.7%
0.871936 257
 
0.7%
0.89856 255
 
0.7%
0.870888 234
 
0.6%
0.890832 232
 
0.6%
0.904128 228
 
0.6%
Other values (669) 33765
93.0%
ValueCountFrequency (%)
0.745472 3
< 0.1%
0.746368 1
 
< 0.1%
0.752128 4
< 0.1%
0.758784 5
< 0.1%
0.759696 5
< 0.1%
ValueCountFrequency (%)
1.311232 1
 
< 0.1%
1.256472 1
 
< 0.1%
1.238016 2
< 0.1%
1.236528 1
 
< 0.1%
1.23136 4
< 0.1%

JGXPQNV
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.319146532
Minimum3.296
Maximum3.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:14.413242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.296
5-th percentile3.308
Q13.312
median3.32
Q33.324
95-th percentile3.332
Maximum3.34
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007751733536
Coefficient of variation (CV)0.002335459873
Kurtosis-0.1810702609
Mean3.319146532
Median Absolute Deviation (MAD)0.004
Skewness-0.2751265248
Sum120528.168
Variance6.008937281 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:14.631663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.324 7956
21.9%
3.32 7042
19.4%
3.316 5390
14.8%
3.312 5325
14.7%
3.328 3512
9.7%
3.308 2572
 
7.1%
3.332 2308
 
6.4%
3.3 923
 
2.5%
3.304 728
 
2.0%
3.336 439
 
1.2%
Other values (2) 118
 
0.3%
ValueCountFrequency (%)
3.296 65
 
0.2%
3.3 923
 
2.5%
3.304 728
 
2.0%
3.308 2572
7.1%
3.312 5325
14.7%
ValueCountFrequency (%)
3.34 53
 
0.1%
3.336 439
 
1.2%
3.332 2308
 
6.4%
3.328 3512
9.7%
3.324 7956
21.9%

UHMRZHI
Real number (ℝ)

Distinct70
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.106590202
Minimum2.82
Maximum3.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:14.906240image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.82
5-th percentile2.93
Q13
median3.09
Q33.2
95-th percentile3.34
Maximum3.52
Range0.7
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1279377197
Coefficient of variation (CV)0.04118268305
Kurtosis-0.6273773205
Mean3.106590202
Median Absolute Deviation (MAD)0.1
Skewness0.4553563076
Sum112809.61
Variance0.01636806011
MonotonicityNot monotonic
2024-08-10T10:46:15.228377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.01 1230
 
3.4%
2.99 1226
 
3.4%
3 1225
 
3.4%
2.98 1179
 
3.2%
2.97 1150
 
3.2%
3.02 1146
 
3.2%
3.03 1095
 
3.0%
3.04 1079
 
3.0%
3.07 1049
 
2.9%
3.06 997
 
2.7%
Other values (60) 24937
68.7%
ValueCountFrequency (%)
2.82 6
 
< 0.1%
2.83 7
 
< 0.1%
2.84 8
 
< 0.1%
2.85 15
< 0.1%
2.86 35
0.1%
ValueCountFrequency (%)
3.52 4
 
< 0.1%
3.5 2
 
< 0.1%
3.49 4
 
< 0.1%
3.48 6
 
< 0.1%
3.47 18
< 0.1%

OPBTWFJ
Real number (ℝ)

Distinct72
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean621.2999201
Minimum562
Maximum706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:15.537360image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum562
5-th percentile586
Q1600
median618
Q3640
95-th percentile668
Maximum706
Range144
Interquartile range (IQR)40

Descriptive statistics

Standard deviation25.58160149
Coefficient of variation (CV)0.04117431961
Kurtosis-0.6248980159
Mean621.2999201
Median Absolute Deviation (MAD)20
Skewness0.4550819828
Sum22561264
Variance654.4183347
MonotonicityNot monotonic
2024-08-10T10:46:15.825003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
598 1242
 
3.4%
596 1224
 
3.4%
602 1214
 
3.3%
600 1195
 
3.3%
606 1126
 
3.1%
594 1105
 
3.0%
604 1094
 
3.0%
608 1083
 
3.0%
614 1018
 
2.8%
616 1013
 
2.8%
Other values (62) 24999
68.8%
ValueCountFrequency (%)
562 1
 
< 0.1%
564 2
 
< 0.1%
566 7
 
< 0.1%
568 12
< 0.1%
570 20
0.1%
ValueCountFrequency (%)
706 1
 
< 0.1%
702 2
 
< 0.1%
700 5
< 0.1%
698 3
 
< 0.1%
696 10
< 0.1%

KFDAVVI
Real number (ℝ)

Distinct638
Distinct (%)1.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.062276652
Minimum1.867968
Maximum2.333448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:16.129886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.867968
5-th percentile1.9472736
Q11.992
median2.050048
Q32.12224
95-th percentile2.220288
Maximum2.333448
Range0.46548
Interquartile range (IQR)0.13024

Descriptive statistics

Standard deviation0.08513907596
Coefficient of variation (CV)0.04128402262
Kurtosis-0.6049527403
Mean2.062276652
Median Absolute Deviation (MAD)0.063008
Skewness0.4684470378
Sum74887.45207
Variance0.007248662255
MonotonicityNot monotonic
2024-08-10T10:46:16.456396image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.98536 278
 
0.8%
1.9872 276
 
0.8%
1.980576 251
 
0.7%
1.993824 242
 
0.7%
2.047584 241
 
0.7%
2.000448 238
 
0.7%
2.014344 236
 
0.6%
1.96544 235
 
0.6%
1.987752 235
 
0.6%
1.99864 227
 
0.6%
Other values (628) 33854
93.2%
ValueCountFrequency (%)
1.867968 1
< 0.1%
1.86816 1
< 0.1%
1.872328 1
< 0.1%
1.87248 1
< 0.1%
1.876992 1
< 0.1%
ValueCountFrequency (%)
2.333448 2
< 0.1%
2.33064 1
< 0.1%
2.327832 1
< 0.1%
2.324 1
< 0.1%
2.320152 1
< 0.1%

WVGOOTV
Real number (ℝ)

Distinct1613
Distinct (%)4.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.36473954
Minimum24.013
Maximum38.175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:16.746974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum24.013
5-th percentile26.448
Q127.438
median28.25
Q329.148
95-th percentile30.646
Maximum38.175
Range14.162
Interquartile range (IQR)1.71

Descriptive statistics

Standard deviation1.336203765
Coefficient of variation (CV)0.04710791591
Kurtosis1.746956124
Mean28.36473954
Median Absolute Deviation (MAD)0.869
Skewness0.7791547493
Sum1030008.787
Variance1.785440502
MonotonicityNot monotonic
2024-08-10T10:46:17.033952image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.438 365
 
1.0%
27.688 355
 
1.0%
28.125 322
 
0.9%
27.313 321
 
0.9%
27.25 316
 
0.9%
27.625 290
 
0.8%
28.063 286
 
0.8%
27.5 282
 
0.8%
28.75 282
 
0.8%
27.75 281
 
0.8%
Other values (1603) 33213
91.5%
ValueCountFrequency (%)
24.013 1
< 0.1%
24.187 1
< 0.1%
24.215 1
< 0.1%
24.479 1
< 0.1%
24.487 1
< 0.1%
ValueCountFrequency (%)
38.175 2
< 0.1%
37.288 1
< 0.1%
36.649 1
< 0.1%
36.408 1
< 0.1%
36.382 1
< 0.1%

OUIMKJU
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.041794729
Minimum3.016
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:17.379937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.016
5-th percentile3.028
Q13.04
median3.04
Q33.048
95-th percentile3.056
Maximum3.068
Range0.052
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.008434045387
Coefficient of variation (CV)0.0027727201
Kurtosis1.023163329
Mean3.041794729
Median Absolute Deviation (MAD)0.004
Skewness-0.5787907967
Sum110456.692
Variance7.113312159 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:17.783691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.04 9909
27.3%
3.044 7169
19.7%
3.048 4953
13.6%
3.032 3337
 
9.2%
3.052 3314
 
9.1%
3.036 2854
 
7.9%
3.056 2052
 
5.7%
3.016 718
 
2.0%
3.028 648
 
1.8%
3.024 571
 
1.6%
Other values (4) 788
 
2.2%
ValueCountFrequency (%)
3.016 718
 
2.0%
3.02 501
 
1.4%
3.024 571
 
1.6%
3.028 648
 
1.8%
3.032 3337
9.2%
ValueCountFrequency (%)
3.068 84
 
0.2%
3.064 34
 
0.1%
3.06 169
 
0.5%
3.056 2052
5.7%
3.052 3314
9.1%

UMLCZZL
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.672334866
Minimum1.652
Maximum1.696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:18.148785image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.652
5-th percentile1.664
Q11.668
median1.672
Q31.68
95-th percentile1.688
Maximum1.696
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007824678975
Coefficient of variation (CV)0.004678894839
Kurtosis-0.6554902163
Mean1.672334866
Median Absolute Deviation (MAD)0.004
Skewness0.4803095735
Sum60727.496
Variance6.122560106 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:18.547723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.668 8734
24.1%
1.664 6648
18.3%
1.672 6164
17.0%
1.68 4315
11.9%
1.684 3325
 
9.2%
1.676 3308
 
9.1%
1.688 1711
 
4.7%
1.66 1574
 
4.3%
1.692 344
 
0.9%
1.656 177
 
0.5%
Other values (2) 13
 
< 0.1%
ValueCountFrequency (%)
1.652 5
 
< 0.1%
1.656 177
 
0.5%
1.66 1574
 
4.3%
1.664 6648
18.3%
1.668 8734
24.1%
ValueCountFrequency (%)
1.696 8
 
< 0.1%
1.692 344
 
0.9%
1.688 1711
 
4.7%
1.684 3325
9.2%
1.68 4315
11.9%

LTUMCBQ
Real number (ℝ)

Distinct29
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.58170628
Minimum22
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:18.950234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24
Q125.5
median28
Q329
95-th percentile31
Maximum37
Range15
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.125668625
Coefficient of variation (CV)0.07706806112
Kurtosis-0.7270887837
Mean27.58170628
Median Absolute Deviation (MAD)1.5
Skewness-0.1204328296
Sum1001574.5
Variance4.518467104
MonotonicityNot monotonic
2024-08-10T10:46:19.325844image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
28.5 4148
11.4%
28 3911
10.8%
29 3218
 
8.9%
27.5 2807
 
7.7%
29.5 2666
 
7.3%
25 2515
 
6.9%
25.5 2311
 
6.4%
24.5 2241
 
6.2%
30 2156
 
5.9%
27 1786
 
4.9%
Other values (19) 8554
23.6%
ValueCountFrequency (%)
22 2
 
< 0.1%
22.5 21
 
0.1%
23 193
 
0.5%
23.5 687
1.9%
24 1362
3.8%
ValueCountFrequency (%)
37 2
 
< 0.1%
35.5 3
 
< 0.1%
35 3
 
< 0.1%
34.5 1
 
< 0.1%
34 15
< 0.1%

UFUYDJX
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.041799245
Minimum3.016
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:19.682304image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.016
5-th percentile3.028
Q13.04
median3.04
Q33.048
95-th percentile3.056
Maximum3.068
Range0.052
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.00843718365
Coefficient of variation (CV)0.002773747696
Kurtosis1.025814948
Mean3.041799245
Median Absolute Deviation (MAD)0.004
Skewness-0.5855663955
Sum110456.856
Variance7.118606795 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:20.070671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.04 9900
27.3%
3.044 7197
19.8%
3.048 4957
13.7%
3.032 3380
 
9.3%
3.052 3312
 
9.1%
3.036 2798
 
7.7%
3.056 2062
 
5.7%
3.016 729
 
2.0%
3.028 635
 
1.7%
3.024 565
 
1.6%
Other values (4) 778
 
2.1%
ValueCountFrequency (%)
3.016 729
 
2.0%
3.02 495
 
1.4%
3.024 565
 
1.6%
3.028 635
 
1.7%
3.032 3380
9.3%
ValueCountFrequency (%)
3.068 78
 
0.2%
3.064 40
 
0.1%
3.06 165
 
0.5%
3.056 2062
5.7%
3.052 3312
9.1%

GKACPXS
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9260680197
Minimum0.908
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:20.500448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.908
5-th percentile0.916
Q10.924
median0.928
Q30.932
95-th percentile0.936
Maximum0.944
Range0.036
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.00616465522
Coefficient of variation (CV)0.006656806076
Kurtosis-0.5538504242
Mean0.9260680197
Median Absolute Deviation (MAD)0.004
Skewness-0.05338551837
Sum33628.308
Variance3.800297398 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:20.937541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.928 9343
25.7%
0.924 8557
23.6%
0.932 5218
14.4%
0.92 4683
12.9%
0.916 3814
10.5%
0.936 3651
 
10.1%
0.912 547
 
1.5%
0.94 497
 
1.4%
0.944 2
 
< 0.1%
0.908 1
 
< 0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
0.908 1
 
< 0.1%
0.912 547
 
1.5%
0.916 3814
10.5%
0.92 4683
12.9%
0.924 8557
23.6%
ValueCountFrequency (%)
0.944 2
 
< 0.1%
0.94 497
 
1.4%
0.936 3651
 
10.1%
0.932 5218
14.4%
0.928 9343
25.7%

QJKCJMC
Real number (ℝ)

Distinct29
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.59792636
Minimum22
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:21.377387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24
Q125.5
median28
Q329
95-th percentile31
Maximum37
Range15
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.119844899
Coefficient of variation (CV)0.0768117456
Kurtosis-0.7298896704
Mean27.59792636
Median Absolute Deviation (MAD)1.5
Skewness-0.1186445886
Sum1002163.5
Variance4.493742395
MonotonicityNot monotonic
2024-08-10T10:46:21.824082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
28.5 4205
11.6%
28 3857
10.6%
29 3211
 
8.8%
27.5 2790
 
7.7%
29.5 2686
 
7.4%
25 2525
 
7.0%
25.5 2370
 
6.5%
24.5 2216
 
6.1%
30 2179
 
6.0%
27 1757
 
4.8%
Other values (19) 8517
23.5%
ValueCountFrequency (%)
22 2
 
< 0.1%
22.5 18
 
< 0.1%
23 175
 
0.5%
23.5 651
1.8%
24 1312
3.6%
ValueCountFrequency (%)
37 2
 
< 0.1%
35.5 2
 
< 0.1%
35 4
 
< 0.1%
34.5 1
 
< 0.1%
34 16
< 0.1%

WWVGPWZ
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.326654476
Minimum3.304
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:22.227381image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.32
median3.328
Q33.332
95-th percentile3.34
Maximum3.348
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007799822821
Coefficient of variation (CV)0.00234464471
Kurtosis-0.194659537
Mean3.326654476
Median Absolute Deviation (MAD)0.004
Skewness-0.2672963891
Sum120800.804
Variance6.083723603 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:22.515254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.332 7436
20.5%
3.328 7424
20.4%
3.324 5464
15.0%
3.32 5172
14.2%
3.316 3359
9.2%
3.336 3207
8.8%
3.34 2119
 
5.8%
3.308 1130
 
3.1%
3.312 497
 
1.4%
3.344 379
 
1.0%
Other values (2) 126
 
0.3%
ValueCountFrequency (%)
3.304 95
 
0.3%
3.308 1130
 
3.1%
3.312 497
 
1.4%
3.316 3359
9.2%
3.32 5172
14.2%
ValueCountFrequency (%)
3.348 31
 
0.1%
3.344 379
 
1.0%
3.34 2119
 
5.8%
3.336 3207
8.8%
3.332 7436
20.5%

ZRYDRXT
Real number (ℝ)

Distinct35
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.053766971
Minimum0.9
Maximum1.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:22.784918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.9
5-th percentile1
Q11.03
median1.05
Q31.08
95-th percentile1.11
Maximum1.25
Range0.35
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03698648406
Coefficient of variation (CV)0.03509930098
Kurtosis1.008226951
Mean1.053766971
Median Absolute Deviation (MAD)0.02
Skewness0.3117529994
Sum38265.44
Variance0.001368000003
MonotonicityNot monotonic
2024-08-10T10:46:23.077747image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1.04 4233
11.7%
1.05 4095
11.3%
1.06 4025
11.1%
1.03 3646
10.0%
1.07 3321
9.1%
1.02 2852
7.9%
1.08 2849
7.8%
1.09 2176
 
6.0%
1.01 1835
 
5.1%
1.1 1689
 
4.7%
Other values (25) 5592
15.4%
ValueCountFrequency (%)
0.9 1
 
< 0.1%
0.91 1
 
< 0.1%
0.92 2
 
< 0.1%
0.93 20
 
0.1%
0.94 54
0.1%
ValueCountFrequency (%)
1.25 1
 
< 0.1%
1.23 2
 
< 0.1%
1.22 8
 
< 0.1%
1.21 21
0.1%
1.2 51
0.1%

SXUIIDQ
Real number (ℝ)

Distinct32
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean210.7359899
Minimum184
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:23.384425image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum184
5-th percentile200
Q1206
median210
Q3216
95-th percentile222
Maximum246
Range62
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.422593749
Coefficient of variation (CV)0.03522224065
Kurtosis1.008730274
Mean210.7359899
Median Absolute Deviation (MAD)4
Skewness0.3007258318
Sum7652456
Variance55.09489796
MonotonicityNot monotonic
2024-08-10T10:46:23.638076image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
210 4280
11.8%
208 4224
11.6%
212 3737
10.3%
206 3589
9.9%
214 3310
9.1%
216 2942
8.1%
204 2934
8.1%
218 2216
 
6.1%
202 1840
 
5.1%
220 1642
 
4.5%
Other values (22) 5599
15.4%
ValueCountFrequency (%)
184 7
 
< 0.1%
186 21
 
0.1%
188 59
 
0.2%
190 115
0.3%
192 158
0.4%
ValueCountFrequency (%)
246 3
 
< 0.1%
244 5
 
< 0.1%
242 21
 
0.1%
240 53
0.1%
238 75
0.2%

IJQUYPU
Real number (ℝ)

Distinct256
Distinct (%)0.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.7010525912
Minimum0.59976
Maximum0.818688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:23.919421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.59976
5-th percentile0.664
Q10.684744
median0.69972
Q30.71712
95-th percentile0.74148
Maximum0.818688
Range0.218928
Interquartile range (IQR)0.032376

Descriptive statistics

Standard deviation0.02456389349
Coefficient of variation (CV)0.03503858883
Kurtosis1.040853584
Mean0.7010525912
Median Absolute Deviation (MAD)0.01504
Skewness0.3373000405
Sum25457.32274
Variance0.0006033848635
MonotonicityNot monotonic
2024-08-10T10:46:24.218441image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.692224 919
 
2.5%
0.685568 873
 
2.4%
0.69888 808
 
2.2%
0.693056 781
 
2.2%
0.69972 776
 
2.1%
0.705536 766
 
2.1%
0.706384 745
 
2.1%
0.69056 723
 
2.0%
0.678912 704
 
1.9%
0.6972 699
 
1.9%
Other values (246) 28519
78.5%
ValueCountFrequency (%)
0.59976 1
 
< 0.1%
0.605696 2
< 0.1%
0.612352 4
< 0.1%
0.613088 1
 
< 0.1%
0.613824 3
< 0.1%
ValueCountFrequency (%)
0.818688 1
 
< 0.1%
0.813008 4
 
< 0.1%
0.812032 3
 
< 0.1%
0.806344 10
< 0.1%
0.805376 11
< 0.1%

GPSLGET
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.313107372
Minimum3.288
Maximum3.336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:24.464591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.288
5-th percentile3.3
Q13.308
median3.312
Q33.32
95-th percentile3.324
Maximum3.336
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.00781860603
Coefficient of variation (CV)0.00235990119
Kurtosis-0.1488566732
Mean3.313107372
Median Absolute Deviation (MAD)0.004
Skewness-0.2366440237
Sum120308.868
Variance6.113060026 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:24.713099image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.316 8221
22.6%
3.312 6438
17.7%
3.32 5128
14.1%
3.308 5069
14.0%
3.304 4433
12.2%
3.324 2956
 
8.1%
3.328 1225
 
3.4%
3.3 1128
 
3.1%
3.296 1031
 
2.8%
3.292 416
 
1.1%
Other values (3) 268
 
0.7%
ValueCountFrequency (%)
3.288 1
 
< 0.1%
3.292 416
 
1.1%
3.296 1031
 
2.8%
3.3 1128
 
3.1%
3.304 4433
12.2%
ValueCountFrequency (%)
3.336 2
 
< 0.1%
3.332 265
 
0.7%
3.328 1225
 
3.4%
3.324 2956
8.1%
3.32 5128
14.1%

YUTIXNM
Real number (ℝ)

Distinct146
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.701007904
Minimum4.13
Maximum5.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:24.985793image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.13
5-th percentile4.35
Q14.47
median4.6
Q34.95
95-th percentile5.21
Maximum5.64
Range1.51
Interquartile range (IQR)0.48

Descriptive statistics

Standard deviation0.2888074365
Coefficient of variation (CV)0.06143521611
Kurtosis-0.7263556175
Mean4.701007904
Median Absolute Deviation (MAD)0.18
Skewness0.6327718763
Sum170707.7
Variance0.08340973537
MonotonicityNot monotonic
2024-08-10T10:46:25.293837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.45 864
 
2.4%
4.47 854
 
2.4%
4.48 841
 
2.3%
4.49 815
 
2.2%
4.51 812
 
2.2%
4.46 808
 
2.2%
4.44 799
 
2.2%
4.5 771
 
2.1%
4.43 767
 
2.1%
4.53 741
 
2.0%
Other values (136) 28241
77.8%
ValueCountFrequency (%)
4.13 1
 
< 0.1%
4.15 2
 
< 0.1%
4.16 1
 
< 0.1%
4.17 3
< 0.1%
4.18 7
< 0.1%
ValueCountFrequency (%)
5.64 1
 
< 0.1%
5.59 3
 
< 0.1%
5.57 1
 
< 0.1%
5.56 6
< 0.1%
5.55 8
< 0.1%

SMHHBFH
Real number (ℝ)

Distinct148
Distinct (%)0.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean940.1571338
Minimum824
Maximum1126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:25.618664image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum824
5-th percentile870
Q1894
median920
Q3990
95-th percentile1042
Maximum1126
Range302
Interquartile range (IQR)96

Descriptive statistics

Standard deviation57.75305137
Coefficient of variation (CV)0.06142914763
Kurtosis-0.7262489664
Mean940.1571338
Median Absolute Deviation (MAD)36
Skewness0.6320688985
Sum34139926
Variance3335.414943
MonotonicityNot monotonic
2024-08-10T10:46:25.919681image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
892 862
 
2.4%
896 834
 
2.3%
890 820
 
2.3%
898 817
 
2.2%
888 815
 
2.2%
894 808
 
2.2%
902 787
 
2.2%
900 757
 
2.1%
904 755
 
2.1%
886 755
 
2.1%
Other values (138) 28303
77.9%
ValueCountFrequency (%)
824 1
 
< 0.1%
826 1
 
< 0.1%
828 1
 
< 0.1%
832 1
 
< 0.1%
834 3
< 0.1%
ValueCountFrequency (%)
1126 1
 
< 0.1%
1122 1
 
< 0.1%
1120 1
 
< 0.1%
1114 4
< 0.1%
1112 1
 
< 0.1%

OFEEPAC
Real number (ℝ)

Distinct1281
Distinct (%)3.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.114882282
Minimum2.742336
Maximum3.727184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:26.225223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.742336
5-th percentile2.887696
Q12.95836
median3.04776
Q33.277568
95-th percentile3.455272
Maximum3.727184
Range0.984848
Interquartile range (IQR)0.319208

Descriptive statistics

Standard deviation0.1909737441
Coefficient of variation (CV)0.06131009996
Kurtosis-0.7127071871
Mean3.114882282
Median Absolute Deviation (MAD)0.120912
Skewness0.6371758303
Sum113110.7203
Variance0.03647097093
MonotonicityNot monotonic
2024-08-10T10:46:26.507121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.95124 202
 
0.6%
2.957352 190
 
0.5%
2.950736 190
 
0.5%
2.91808 179
 
0.5%
2.931344 166
 
0.5%
2.937504 160
 
0.4%
2.94412 160
 
0.4%
2.970584 159
 
0.4%
2.944608 155
 
0.4%
2.971136 154
 
0.4%
Other values (1271) 34598
95.3%
ValueCountFrequency (%)
2.742336 1
< 0.1%
2.745648 1
< 0.1%
2.74896 1
< 0.1%
2.755536 1
< 0.1%
2.7556 1
< 0.1%
ValueCountFrequency (%)
3.727184 1
< 0.1%
3.707288 2
< 0.1%
3.70512 1
< 0.1%
3.696192 1
< 0.1%
3.694024 2
< 0.1%

WWHSAAX
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:26.756702image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:46:26.959564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

LVDPQQT
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:27.169704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:46:27.369621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

AZGJSEG
Real number (ℝ)

Distinct71
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.7815495
Minimum9.445
Maximum10.149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:27.633007image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.445
5-th percentile9.633
Q19.704
median9.753
Q39.874
95-th percentile9.974
Maximum10.149
Range0.704
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.1135653223
Coefficient of variation (CV)0.01161015668
Kurtosis-0.5393239641
Mean9.7815495
Median Absolute Deviation (MAD)0.073
Skewness0.4463331025
Sum355197.407
Variance0.01289708243
MonotonicityNot monotonic
2024-08-10T10:46:27.935071image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.704 3051
 
8.4%
9.729 2349
 
6.5%
9.777 1911
 
5.3%
9.633 1810
 
5.0%
9.801 1787
 
4.9%
9.657 1540
 
4.2%
9.681 1531
 
4.2%
9.752 1462
 
4.0%
9.68 1437
 
4.0%
9.656 1266
 
3.5%
Other values (61) 18169
50.0%
ValueCountFrequency (%)
9.445 2
 
< 0.1%
9.491 36
 
0.1%
9.515 50
0.1%
9.538 37
 
0.1%
9.562 113
0.3%
ValueCountFrequency (%)
10.149 4
 
< 0.1%
10.124 15
 
< 0.1%
10.123 7
 
< 0.1%
10.099 51
0.1%
10.097 8
 
< 0.1%

CWDFMGH
Real number (ℝ)

Distinct276
Distinct (%)0.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.941393633
Minimum7.516
Maximum8.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:28.262298image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.516
5-th percentile7.722
Q17.824
median7.953
Q38.051
95-th percentile8.168
Maximum8.42
Range0.904
Interquartile range (IQR)0.227

Descriptive statistics

Standard deviation0.1450420455
Coefficient of variation (CV)0.01826405442
Kurtosis-0.4727400408
Mean7.941393633
Median Absolute Deviation (MAD)0.108
Skewness-0.03324166416
Sum288375.827
Variance0.02103719496
MonotonicityNot monotonic
2024-08-10T10:46:28.584709image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.014 1488
 
4.1%
8.091 1459
 
4.0%
7.974 1162
 
3.2%
7.812 1155
 
3.2%
8.097 1117
 
3.1%
8.008 1095
 
3.0%
7.896 908
 
2.5%
8.057 843
 
2.3%
7.818 775
 
2.1%
8.002 737
 
2.0%
Other values (266) 25574
70.4%
ValueCountFrequency (%)
7.516 5
 
< 0.1%
7.525 13
< 0.1%
7.53 7
< 0.1%
7.551 1
 
< 0.1%
7.553 1
 
< 0.1%
ValueCountFrequency (%)
8.42 1
 
< 0.1%
8.38 5
 
< 0.1%
8.374 27
 
0.1%
8.339 77
0.2%
8.332 29
 
0.1%

ZIKEAND
Real number (ℝ)

Distinct101
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.293000578
Minimum3.238
Maximum3.344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:28.892955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.238
5-th percentile3.272
Q13.284
median3.293
Q33.302
95-th percentile3.314
Maximum3.344
Range0.106
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.01296917578
Coefficient of variation (CV)0.003938406774
Kurtosis0.077788042
Mean3.293000578
Median Absolute Deviation (MAD)0.009
Skewness-0.01641761248
Sum119578.73
Variance0.0001681995205
MonotonicityNot monotonic
2024-08-10T10:46:29.209804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.29 1223
 
3.4%
3.295 1209
 
3.3%
3.293 1161
 
3.2%
3.296 1148
 
3.2%
3.291 1146
 
3.2%
3.288 1135
 
3.1%
3.298 1134
 
3.1%
3.3 1063
 
2.9%
3.286 1037
 
2.9%
3.292 1034
 
2.8%
Other values (91) 25023
68.9%
ValueCountFrequency (%)
3.238 1
 
< 0.1%
3.243 1
 
< 0.1%
3.244 1
 
< 0.1%
3.245 4
< 0.1%
3.246 3
< 0.1%
ValueCountFrequency (%)
3.344 1
 
< 0.1%
3.342 2
< 0.1%
3.341 3
< 0.1%
3.34 2
< 0.1%
3.338 2
< 0.1%

MMXPDHL
Real number (ℝ)

Distinct36
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.147498059
Minimum1.13
Maximum1.209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:29.493345image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.13
5-th percentile1.14
Q11.145
median1.148
Q31.15
95-th percentile1.155
Maximum1.209
Range0.079
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.004381037876
Coefficient of variation (CV)0.003817904391
Kurtosis0.9313786644
Mean1.147498059
Median Absolute Deviation (MAD)0.003
Skewness0.007048207505
Sum41669.097
Variance1.919349287 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:29.788910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1.148 3721
10.2%
1.146 3189
 
8.8%
1.15 3131
 
8.6%
1.147 2888
 
8.0%
1.149 2802
 
7.7%
1.145 2734
 
7.5%
1.151 2521
 
6.9%
1.143 2219
 
6.1%
1.144 2036
 
5.6%
1.153 1866
 
5.1%
Other values (26) 9206
25.4%
ValueCountFrequency (%)
1.13 1
 
< 0.1%
1.131 4
 
< 0.1%
1.132 3
 
< 0.1%
1.133 14
< 0.1%
1.134 19
0.1%
ValueCountFrequency (%)
1.209 1
 
< 0.1%
1.164 1
 
< 0.1%
1.163 3
 
< 0.1%
1.162 12
< 0.1%
1.161 16
< 0.1%

OYSVSFU
Real number (ℝ)

Distinct95
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.284329469
Minimum3.233
Maximum3.333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:30.100482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.233
5-th percentile3.264
Q13.276
median3.284
Q33.293
95-th percentile3.305
Maximum3.333
Range0.1
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01239807113
Coefficient of variation (CV)0.003774916995
Kurtosis0.08387819122
Mean3.284329469
Median Absolute Deviation (MAD)0.008
Skewness-0.0006765284233
Sum119263.856
Variance0.0001537121678
MonotonicityNot monotonic
2024-08-10T10:46:30.398265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.285 1257
 
3.5%
3.281 1222
 
3.4%
3.287 1176
 
3.2%
3.286 1159
 
3.2%
3.288 1144
 
3.2%
3.283 1126
 
3.1%
3.282 1122
 
3.1%
3.284 1113
 
3.1%
3.291 1109
 
3.1%
3.279 1109
 
3.1%
Other values (85) 24776
68.2%
ValueCountFrequency (%)
3.233 2
 
< 0.1%
3.239 3
< 0.1%
3.24 2
 
< 0.1%
3.241 3
< 0.1%
3.242 6
< 0.1%
ValueCountFrequency (%)
3.333 1
 
< 0.1%
3.332 4
< 0.1%
3.33 1
 
< 0.1%
3.329 3
< 0.1%
3.328 4
< 0.1%

TKNRHFX
Real number (ℝ)

Distinct28
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9554101837
Minimum0.943
Maximum1.005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:30.675279image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.943
5-th percentile0.95
Q10.953
median0.955
Q30.958
95-th percentile0.961
Maximum1.005
Range0.062
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.003415252398
Coefficient of variation (CV)0.00357464517
Kurtosis3.355088195
Mean0.9554101837
Median Absolute Deviation (MAD)0.002
Skewness0.1443893078
Sum34693.81
Variance1.166394894 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:30.942764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.955 4229
11.6%
0.956 4096
11.3%
0.957 4027
11.1%
0.954 3626
10.0%
0.958 3392
9.3%
0.953 3174
8.7%
0.959 2607
7.2%
0.952 2569
7.1%
0.951 1742
 
4.8%
0.96 1721
 
4.7%
Other values (18) 5130
14.1%
ValueCountFrequency (%)
0.943 6
 
< 0.1%
0.944 14
 
< 0.1%
0.945 38
 
0.1%
0.946 87
0.2%
0.947 217
0.6%
ValueCountFrequency (%)
1.005 2
 
< 0.1%
1.004 1
 
< 0.1%
0.968 2
 
< 0.1%
0.967 7
< 0.1%
0.966 12
< 0.1%

YWXXBRX
Real number (ℝ)

Distinct49
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.79646526
Minimum1.773
Maximum1.823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:31.233536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.773
5-th percentile1.787
Q11.793
median1.796
Q31.8
95-th percentile1.806
Maximum1.823
Range0.05
Interquartile range (IQR)0.007

Descriptive statistics

Standard deviation0.005679617342
Coefficient of variation (CV)0.003161551446
Kurtosis0.03407031071
Mean1.79646526
Median Absolute Deviation (MAD)0.004
Skewness0.04135201458
Sum65235.043
Variance3.225805315 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:31.532415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1.796 2770
 
7.6%
1.795 2764
 
7.6%
1.799 2437
 
6.7%
1.798 2373
 
6.5%
1.794 2262
 
6.2%
1.8 2233
 
6.1%
1.797 2109
 
5.8%
1.793 2016
 
5.6%
1.792 1864
 
5.1%
1.791 1823
 
5.0%
Other values (39) 13662
37.6%
ValueCountFrequency (%)
1.773 1
 
< 0.1%
1.774 1
 
< 0.1%
1.776 3
 
< 0.1%
1.777 6
< 0.1%
1.778 9
< 0.1%
ValueCountFrequency (%)
1.823 3
< 0.1%
1.822 1
 
< 0.1%
1.821 1
 
< 0.1%
1.819 2
< 0.1%
1.818 2
< 0.1%

LTRIIBH
Real number (ℝ)

Distinct32
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.153432958
Minimum1.138
Maximum1.169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:31.824928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.138
5-th percentile1.146
Q11.151
median1.154
Q31.156
95-th percentile1.16
Maximum1.169
Range0.031
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.004180465264
Coefficient of variation (CV)0.003624367793
Kurtosis-0.1254630012
Mean1.153432958
Median Absolute Deviation (MAD)0.003
Skewness-0.0883864187
Sum41884.611
Variance1.747628982 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:32.097488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.154 3686
10.2%
1.156 3615
10.0%
1.153 3436
9.5%
1.151 3135
 
8.6%
1.155 2813
 
7.7%
1.152 2701
 
7.4%
1.158 2175
 
6.0%
1.15 2169
 
6.0%
1.157 2078
 
5.7%
1.149 2076
 
5.7%
Other values (22) 8429
23.2%
ValueCountFrequency (%)
1.138 5
 
< 0.1%
1.139 6
 
< 0.1%
1.14 16
 
< 0.1%
1.141 43
0.1%
1.142 78
0.2%
ValueCountFrequency (%)
1.169 1
 
< 0.1%
1.168 1
 
< 0.1%
1.167 6
 
< 0.1%
1.166 34
0.1%
1.165 62
0.2%

ITWTNIT
Real number (ℝ)

Distinct50
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9449915182
Minimum0.927
Maximum0.976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:32.406146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.927
5-th percentile0.935
Q10.939
median0.945
Q30.95
95-th percentile0.956
Maximum0.976
Range0.049
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.006818168765
Coefficient of variation (CV)0.00721505816
Kurtosis-0.2221999902
Mean0.9449915182
Median Absolute Deviation (MAD)0.005
Skewness0.2805384864
Sum34315.477
Variance4.64874253 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:32.814080image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.948 2114
 
5.8%
0.947 2070
 
5.7%
0.949 2035
 
5.6%
0.937 2021
 
5.6%
0.95 1964
 
5.4%
0.946 1936
 
5.3%
0.939 1845
 
5.1%
0.938 1831
 
5.0%
0.945 1708
 
4.7%
0.94 1663
 
4.6%
Other values (40) 17126
47.2%
ValueCountFrequency (%)
0.927 2
 
< 0.1%
0.928 3
 
< 0.1%
0.929 6
 
< 0.1%
0.93 27
 
0.1%
0.931 73
0.2%
ValueCountFrequency (%)
0.976 1
 
< 0.1%
0.975 4
 
< 0.1%
0.974 6
< 0.1%
0.973 3
 
< 0.1%
0.972 11
< 0.1%

MAFPSTX
Real number (ℝ)

Distinct49
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.6520349462
Minimum0.63
Maximum0.678
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:33.294090image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.63
5-th percentile0.64
Q10.646
median0.653
Q30.656
95-th percentile0.665
Maximum0.678
Range0.048
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.007445843713
Coefficient of variation (CV)0.01141939363
Kurtosis-0.0540806159
Mean0.6520349462
Median Absolute Deviation (MAD)0.004
Skewness0.07412001241
Sum23677.345
Variance5.54405886 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:33.828692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.655 3400
 
9.4%
0.656 3058
 
8.4%
0.654 2659
 
7.3%
0.657 2477
 
6.8%
0.653 1948
 
5.4%
0.658 1597
 
4.4%
0.652 1383
 
3.8%
0.644 1307
 
3.6%
0.646 1216
 
3.3%
0.645 1188
 
3.3%
Other values (39) 16080
44.3%
ValueCountFrequency (%)
0.63 2
 
< 0.1%
0.631 2
 
< 0.1%
0.632 10
 
< 0.1%
0.633 26
0.1%
0.634 46
0.1%
ValueCountFrequency (%)
0.678 4
 
< 0.1%
0.677 7
 
< 0.1%
0.676 13
 
< 0.1%
0.675 14
 
< 0.1%
0.674 52
0.1%

ZXTCPRN
Real number (ℝ)

Distinct92
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.716189188
Minimum5.335
Maximum6.162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:34.378833image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.335
5-th percentile5.524
Q15.608
median5.707
Q35.808
95-th percentile5.923
Maximum6.162
Range0.827
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.1304122142
Coefficient of variation (CV)0.02281453779
Kurtosis-0.4789963222
Mean5.716189188
Median Absolute Deviation (MAD)0.099
Skewness-0.01246149969
Sum207571.978
Variance0.01700734562
MonotonicityNot monotonic
2024-08-10T10:46:34.876992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.769 2840
 
7.8%
5.854 2285
 
6.3%
5.608 2011
 
5.5%
5.846 1994
 
5.5%
5.777 1683
 
4.6%
5.685 1542
 
4.2%
5.785 1340
 
3.7%
5.538 1316
 
3.6%
5.531 1241
 
3.4%
5.601 1225
 
3.4%
Other values (82) 18836
51.9%
ValueCountFrequency (%)
5.335 6
 
< 0.1%
5.363 9
 
< 0.1%
5.37 84
0.2%
5.377 7
 
< 0.1%
5.385 1
 
< 0.1%
ValueCountFrequency (%)
6.162 1
 
< 0.1%
6.101 1
 
< 0.1%
6.093 48
0.1%
6.085 107
0.3%
6.077 2
 
< 0.1%

YEPIWSP
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.445763225 × 10-5
Minimum0
Maximum0.001
Zeros35788
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:35.317489image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.001
Range0.001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001193691816
Coefficient of variation (CV)8.256482079
Kurtosis64.19129226
Mean1.445763225 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.135585832
Sum0.525
Variance1.424900152 × 10-8
MonotonicityNot monotonic
2024-08-10T10:46:35.682379image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 35788
98.6%
0.001 525
 
1.4%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
0 35788
98.6%
0.001 525
 
1.4%
ValueCountFrequency (%)
0.001 525
 
1.4%
0 35788
98.6%

OPYOPFC
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.357640514 × 10-5
Minimum0
Maximum0.003
Zeros35822
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:36.053370image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.003
Range0.003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001164374931
Coefficient of variation (CV)8.576459814
Kurtosis78.4378259
Mean1.357640514 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.668169098
Sum0.493
Variance1.355768981 × 10-8
MonotonicityNot monotonic
2024-08-10T10:46:36.415332image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 35822
98.6%
0.001 490
 
1.3%
0.003 1
 
< 0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
0 35822
98.6%
0.001 490
 
1.3%
0.003 1
 
< 0.1%
ValueCountFrequency (%)
0.003 1
 
< 0.1%
0.001 490
 
1.3%
0 35822
98.6%

YCJYNVQ
Real number (ℝ)

Distinct412
Distinct (%)1.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.91018996
Minimum4.444
Maximum5.231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:36.906726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.444
5-th percentile4.507
Q14.55
median5.095
Q35.125
95-th percentile5.157
Maximum5.231
Range0.787
Interquartile range (IQR)0.575

Descriptive statistics

Standard deviation0.2791366622
Coefficient of variation (CV)0.05684844467
Kurtosis-1.606246798
Mean4.91018996
Median Absolute Deviation (MAD)0.044
Skewness-0.5915181119
Sum178303.728
Variance0.07791727621
MonotonicityNot monotonic
2024-08-10T10:46:37.443951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.121 495
 
1.4%
5.109 457
 
1.3%
5.13 440
 
1.2%
5.106 418
 
1.2%
5.127 417
 
1.1%
5.115 414
 
1.1%
5.124 402
 
1.1%
5.1 397
 
1.1%
5.118 385
 
1.1%
5.112 383
 
1.1%
Other values (402) 32105
88.4%
ValueCountFrequency (%)
4.444 1
 
< 0.1%
4.445 1
 
< 0.1%
4.446 1
 
< 0.1%
4.452 1
 
< 0.1%
4.455 3
< 0.1%
ValueCountFrequency (%)
5.231 1
< 0.1%
5.226 1
< 0.1%
5.222 1
< 0.1%
5.218 1
< 0.1%
5.216 2
< 0.1%

VJNUBJX
Real number (ℝ)

Distinct54
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.794526588
Minimum1.765
Maximum1.819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:37.736411image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.765
5-th percentile1.784
Q11.79
median1.795
Q31.799
95-th percentile1.805
Maximum1.819
Range0.054
Interquartile range (IQR)0.009

Descriptive statistics

Standard deviation0.006492629278
Coefficient of variation (CV)0.003618017877
Kurtosis-0.04179895171
Mean1.794526588
Median Absolute Deviation (MAD)0.004
Skewness-0.04958080922
Sum65164.644
Variance4.215423494 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:38.030691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.796 2331
 
6.4%
1.795 2281
 
6.3%
1.791 2132
 
5.9%
1.792 2088
 
5.7%
1.794 2071
 
5.7%
1.793 2058
 
5.7%
1.799 1999
 
5.5%
1.798 1834
 
5.1%
1.797 1820
 
5.0%
1.8 1669
 
4.6%
Other values (44) 16030
44.1%
ValueCountFrequency (%)
1.765 1
 
< 0.1%
1.767 1
 
< 0.1%
1.768 1
 
< 0.1%
1.769 1
 
< 0.1%
1.77 5
< 0.1%
ValueCountFrequency (%)
1.819 1
 
< 0.1%
1.818 4
 
< 0.1%
1.817 3
 
< 0.1%
1.816 10
< 0.1%
1.815 18
< 0.1%

OSFOBBT
Real number (ℝ)

Distinct190
Distinct (%)0.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.601704045
Minimum3.506
Maximum3.714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:38.338986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.506
5-th percentile3.553
Q13.576
median3.599
Q33.626
95-th percentile3.658
Maximum3.714
Range0.208
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03276266339
Coefficient of variation (CV)0.009096434069
Kurtosis-0.6366761504
Mean3.601704045
Median Absolute Deviation (MAD)0.024
Skewness0.2553063172
Sum130788.679
Variance0.001073392112
MonotonicityNot monotonic
2024-08-10T10:46:38.626759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.599 549
 
1.5%
3.591 528
 
1.5%
3.602 516
 
1.4%
3.596 515
 
1.4%
3.578 484
 
1.3%
3.583 483
 
1.3%
3.588 479
 
1.3%
3.613 472
 
1.3%
3.58 472
 
1.3%
3.61 470
 
1.3%
Other values (180) 31345
86.3%
ValueCountFrequency (%)
3.506 1
 
< 0.1%
3.509 1
 
< 0.1%
3.514 3
< 0.1%
3.515 2
< 0.1%
3.517 2
< 0.1%
ValueCountFrequency (%)
3.714 1
 
< 0.1%
3.707 1
 
< 0.1%
3.704 3
< 0.1%
3.703 1
 
< 0.1%
3.702 1
 
< 0.1%

RSQGZAF
Real number (ℝ)

Distinct100
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.208899017
Minimum3.156
Maximum3.264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:38.909255image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.156
5-th percentile3.188
Q13.201
median3.209
Q33.217
95-th percentile3.229
Maximum3.264
Range0.108
Interquartile range (IQR)0.016

Descriptive statistics

Standard deviation0.01241908898
Coefficient of variation (CV)0.003870202494
Kurtosis0.1033267017
Mean3.208899017
Median Absolute Deviation (MAD)0.008
Skewness-0.0367087624
Sum116524.75
Variance0.0001542337711
MonotonicityNot monotonic
2024-08-10T10:46:39.237799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.211 1264
 
3.5%
3.209 1223
 
3.4%
3.212 1210
 
3.3%
3.21 1204
 
3.3%
3.213 1197
 
3.3%
3.208 1197
 
3.3%
3.215 1144
 
3.2%
3.205 1144
 
3.2%
3.207 1143
 
3.1%
3.203 1101
 
3.0%
Other values (90) 24486
67.4%
ValueCountFrequency (%)
3.156 1
 
< 0.1%
3.16 1
 
< 0.1%
3.161 1
 
< 0.1%
3.162 1
 
< 0.1%
3.163 5
< 0.1%
ValueCountFrequency (%)
3.264 1
 
< 0.1%
3.259 1
 
< 0.1%
3.257 1
 
< 0.1%
3.255 3
< 0.1%
3.254 2
< 0.1%

RIEVFEX
Real number (ℝ)

Distinct109
Distinct (%)0.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.270268003
Minimum3.218
Maximum3.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:39.553828image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.218
5-th percentile3.247
Q13.261
median3.27
Q33.28
95-th percentile3.293
Maximum3.33
Range0.112
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.01421520054
Coefficient of variation (CV)0.004346799873
Kurtosis-0.0541822094
Mean3.270268003
Median Absolute Deviation (MAD)0.01
Skewness-0.019738947
Sum118753.242
Variance0.0002020719264
MonotonicityNot monotonic
2024-08-10T10:46:39.862741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.273 1144
 
3.2%
3.268 1105
 
3.0%
3.272 1089
 
3.0%
3.27 1036
 
2.9%
3.269 997
 
2.7%
3.266 993
 
2.7%
3.264 980
 
2.7%
3.275 968
 
2.7%
3.276 944
 
2.6%
3.271 940
 
2.6%
Other values (99) 26117
71.9%
ValueCountFrequency (%)
3.218 1
 
< 0.1%
3.219 1
 
< 0.1%
3.22 3
< 0.1%
3.221 2
 
< 0.1%
3.222 5
< 0.1%
ValueCountFrequency (%)
3.33 1
< 0.1%
3.328 1
< 0.1%
3.327 1
< 0.1%
3.325 1
< 0.1%
3.323 2
< 0.1%

NXXERZE
Real number (ℝ)

Distinct2320
Distinct (%)6.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean37.49715527
Minimum29.80382194
Maximum47.5625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:40.168054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum29.80382194
5-th percentile34.10099785
Q135.98151002
median37.40669856
Q338.96339453
95-th percentile41.09508629
Maximum47.5625
Range17.75867806
Interquartile range (IQR)2.98188451

Descriptive statistics

Standard deviation2.149276094
Coefficient of variation (CV)0.05731837732
Kurtosis-0.009736641528
Mean37.49715527
Median Absolute Deviation (MAD)1.497881974
Skewness0.2253579929
Sum1361634.199
Variance4.619387727
MonotonicityNot monotonic
2024-08-10T10:46:40.480014image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.0625 223
 
0.6%
38.5625 210
 
0.6%
38.9375 201
 
0.6%
38.375 199
 
0.5%
39.125 196
 
0.5%
39.25 192
 
0.5%
39.3125 185
 
0.5%
39.75 178
 
0.5%
38.75 175
 
0.5%
38.5 173
 
0.5%
Other values (2310) 34381
94.7%
ValueCountFrequency (%)
29.80382194 1
< 0.1%
30.89376482 1
< 0.1%
31.0077545 1
< 0.1%
31.0669769 1
< 0.1%
31.08430153 1
< 0.1%
ValueCountFrequency (%)
47.5625 1
< 0.1%
47.1875 1
< 0.1%
47.12779974 2
< 0.1%
46.90942049 1
< 0.1%
46.64312002 1
< 0.1%

MSWILHL
Real number (ℝ)

Distinct12375
Distinct (%)34.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.553978752
Minimum-1.024244174
Maximum9
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)< 0.1%
Memory size567.4 KiB
2024-08-10T10:46:40.776934image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1.024244174
5-th percentile3.093880041
Q14.516192668
median5.5
Q36.625
95-th percentile8.117259552
Maximum9
Range10.02424417
Interquartile range (IQR)2.108807332

Descriptive statistics

Standard deviation1.499106659
Coefficient of variation (CV)0.2699158075
Kurtosis-0.3603803697
Mean5.553978752
Median Absolute Deviation (MAD)1.045480364
Skewness-0.01291824707
Sum201681.6304
Variance2.247320776
MonotonicityNot monotonic
2024-08-10T10:46:42.710243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.625 287
 
0.8%
5.9375 276
 
0.8%
5.5 265
 
0.7%
5.8125 263
 
0.7%
5.875 258
 
0.7%
5.75 256
 
0.7%
5.6875 250
 
0.7%
5.375 248
 
0.7%
6.25 245
 
0.7%
6.3125 243
 
0.7%
Other values (12365) 33722
92.9%
ValueCountFrequency (%)
-1.024244174 1
< 0.1%
-0.5756011407 1
< 0.1%
-0.5358386295 1
< 0.1%
-0.2273562551 1
< 0.1%
0.1744477363 1
< 0.1%
ValueCountFrequency (%)
9 49
0.1%
8.999732962 1
 
< 0.1%
8.999251697 1
 
< 0.1%
8.999171874 2
 
< 0.1%
8.999171486 2
 
< 0.1%

QRYQRQW
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.03007187509
Minimum0
Maximum4
Zeros35295
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:42.946186image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1844322185
Coefficient of variation (CV)6.133046842
Kurtosis62.42582164
Mean0.03007187509
Median Absolute Deviation (MAD)0
Skewness7.039704802
Sum1092
Variance0.03401524324
MonotonicityNot monotonic
2024-08-10T10:46:43.165698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 35295
97.2%
1 956
 
2.6%
2 52
 
0.1%
3 8
 
< 0.1%
4 2
 
< 0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
0 35295
97.2%
1 956
 
2.6%
2 52
 
0.1%
3 8
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
4 2
 
< 0.1%
3 8
 
< 0.1%
2 52
 
0.1%
1 956
 
2.6%
0 35295
97.2%

RHYKHCF
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.981522218
Minimum4.9368
Maximum5.0336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:43.435159image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.9368
5-th percentile4.94648
Q14.96584
median4.9852
Q34.99488
95-th percentile5.01424
Maximum5.0336
Range0.0968
Interquartile range (IQR)0.02904

Descriptive statistics

Standard deviation0.01863016796
Coefficient of variation (CV)0.003739854435
Kurtosis-0.3670907395
Mean4.981522218
Median Absolute Deviation (MAD)0.00968
Skewness-0.1649517268
Sum180898.9978
Variance0.0003470831583
MonotonicityNot monotonic
2024-08-10T10:46:43.640640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4.9852 9504
26.2%
4.96584 5466
15.1%
4.97552 5449
15.0%
4.99488 5037
13.9%
5.00456 3521
 
9.7%
4.94648 2593
 
7.1%
5.01424 2285
 
6.3%
4.95616 1719
 
4.7%
4.9368 422
 
1.2%
5.02392 301
 
0.8%
ValueCountFrequency (%)
4.9368 422
 
1.2%
4.94648 2593
7.1%
4.95616 1719
 
4.7%
4.96584 5466
15.1%
4.97552 5449
15.0%
ValueCountFrequency (%)
5.0336 17
 
< 0.1%
5.02392 301
 
0.8%
5.01424 2285
6.3%
5.00456 3521
9.7%
4.99488 5037
13.9%

AOLWPYQ
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.062780746
Minimum5.00456
Maximum5.12072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:43.854306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.00456
5-th percentile5.0336
Q15.04328
median5.06264
Q35.082
95-th percentile5.10136
Maximum5.12072
Range0.11616
Interquartile range (IQR)0.03872

Descriptive statistics

Standard deviation0.02114469241
Coefficient of variation (CV)0.004176497754
Kurtosis-0.8648323292
Mean5.062780746
Median Absolute Deviation (MAD)0.01936
Skewness0.1281047071
Sum183849.82
Variance0.0004470980173
MonotonicityNot monotonic
2024-08-10T10:46:44.103741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5.05296 6849
18.9%
5.07232 6817
18.8%
5.04328 5167
14.2%
5.082 4690
12.9%
5.0336 4215
11.6%
5.09168 3141
8.6%
5.06264 2379
 
6.6%
5.10136 1667
 
4.6%
5.02392 882
 
2.4%
5.11104 401
 
1.1%
Other values (3) 106
 
0.3%
ValueCountFrequency (%)
5.00456 33
 
0.1%
5.01424 59
 
0.2%
5.02392 882
 
2.4%
5.0336 4215
11.6%
5.04328 5167
14.2%
ValueCountFrequency (%)
5.12072 14
 
< 0.1%
5.11104 401
 
1.1%
5.10136 1667
 
4.6%
5.09168 3141
8.6%
5.082 4690
12.9%

PNSPXXL
Real number (ℝ)

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.07152613
Minimum11.506
Maximum12.364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:44.430829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum11.506
5-th percentile11.924
Q111.99
median12.056
Q312.166
95-th percentile12.276
Maximum12.364
Range0.858
Interquartile range (IQR)0.176

Descriptive statistics

Standard deviation0.1195497992
Coefficient of variation (CV)0.009903453619
Kurtosis0.5105521759
Mean12.07152613
Median Absolute Deviation (MAD)0.088
Skewness-0.1621520114
Sum438365.4
Variance0.01429215448
MonotonicityNot monotonic
2024-08-10T10:46:44.709341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
11.946 3528
 
9.7%
12.078 2724
 
7.5%
12.056 2634
 
7.3%
12.144 2626
 
7.2%
12.166 2624
 
7.2%
11.968 2603
 
7.2%
11.99 2551
 
7.0%
12.012 2444
 
6.7%
12.21 2444
 
6.7%
12.034 2318
 
6.4%
Other values (30) 9818
27.0%
ValueCountFrequency (%)
11.506 6
 
< 0.1%
11.528 13
 
< 0.1%
11.55 23
0.1%
11.572 21
0.1%
11.594 47
0.1%
ValueCountFrequency (%)
12.364 2
 
< 0.1%
12.342 79
 
0.2%
12.32 680
1.9%
12.298 781
2.2%
12.276 417
1.1%

PPPQVMZ
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.899133994
Minimum4.84968
Maximum4.9368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:44.966120image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.84968
5-th percentile4.86904
Q14.8884
median4.89808
Q34.90776
95-th percentile4.91744
Maximum4.9368
Range0.08712
Interquartile range (IQR)0.01936

Descriptive statistics

Standard deviation0.01568453176
Coefficient of variation (CV)0.003201490667
Kurtosis-0.1733723779
Mean4.899133994
Median Absolute Deviation (MAD)0.00968
Skewness-0.5009346934
Sum177907.1518
Variance0.0002460045365
MonotonicityNot monotonic
2024-08-10T10:46:45.191376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4.90776 9322
25.7%
4.89808 7851
21.6%
4.91744 6132
16.9%
4.8884 4926
13.6%
4.87872 4333
11.9%
4.86904 2009
 
5.5%
4.92712 1320
 
3.6%
4.84968 329
 
0.9%
4.85936 87
 
0.2%
4.9368 5
 
< 0.1%
ValueCountFrequency (%)
4.84968 329
 
0.9%
4.85936 87
 
0.2%
4.86904 2009
5.5%
4.87872 4333
11.9%
4.8884 4926
13.6%
ValueCountFrequency (%)
4.9368 5
 
< 0.1%
4.92712 1320
 
3.6%
4.91744 6132
16.9%
4.90776 9322
25.7%
4.89808 7851
21.6%

LEFUBNX
Real number (ℝ)

SKEWED 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.034035248
Minimum1.94
Maximum3.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:45.440926image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.94
5-th percentile3.02
Q13.032
median3.032
Q33.04
95-th percentile3.048
Maximum3.06
Range1.12
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.01027785557
Coefficient of variation (CV)0.003387520159
Kurtosis3535.009306
Mean3.034035248
Median Absolute Deviation (MAD)0.004
Skewness-33.5041398
Sum110177.956
Variance0.0001056343151
MonotonicityNot monotonic
2024-08-10T10:46:45.670909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3.032 10057
27.7%
3.036 6684
18.4%
3.04 4841
13.3%
3.044 3597
 
9.9%
3.028 3406
 
9.4%
3.024 2721
 
7.5%
3.048 2053
 
5.7%
3.008 728
 
2.0%
3.016 643
 
1.8%
3.02 622
 
1.7%
Other values (5) 962
 
2.6%
ValueCountFrequency (%)
1.94 1
 
< 0.1%
3.008 728
2.0%
3.012 402
1.1%
3.016 643
1.8%
3.02 622
1.7%
ValueCountFrequency (%)
3.06 94
 
0.3%
3.056 62
 
0.2%
3.052 403
 
1.1%
3.048 2053
5.7%
3.044 3597
9.9%

DDCMFRW
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.49507661
Minimum2.48
Maximum2.508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:45.885527image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.48
5-th percentile2.488
Q12.492
median2.496
Q32.496
95-th percentile2.504
Maximum2.508
Range0.028
Interquartile range (IQR)0.004

Descriptive statistics

Standard deviation0.00447196622
Coefficient of variation (CV)0.001792316197
Kurtosis0.4374038075
Mean2.49507661
Median Absolute Deviation (MAD)0.004
Skewness0.1442782326
Sum90606.212
Variance1.999848187 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:46.087498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2.492 13072
36.0%
2.496 12081
33.3%
2.5 6061
16.7%
2.504 2024
 
5.6%
2.488 1532
 
4.2%
2.484 1153
 
3.2%
2.508 381
 
1.0%
2.48 10
 
< 0.1%
ValueCountFrequency (%)
2.48 10
 
< 0.1%
2.484 1153
 
3.2%
2.488 1532
 
4.2%
2.492 13072
36.0%
2.496 12081
33.3%
ValueCountFrequency (%)
2.508 381
 
1.0%
2.504 2024
 
5.6%
2.5 6061
16.7%
2.496 12081
33.3%
2.492 13072
36.0%

MDBYIRV
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9263299003
Minimum0.912
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:46.305039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.912
5-th percentile0.916
Q10.924
median0.928
Q30.932
95-th percentile0.936
Maximum0.944
Range0.032
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.00616906226
Coefficient of variation (CV)0.006659681673
Kurtosis-0.5515050564
Mean0.9263299003
Median Absolute Deviation (MAD)0.004
Skewness-0.05053622367
Sum33638.744
Variance3.805732917 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:46.523184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.928 9637
26.5%
0.924 8195
22.6%
0.932 5296
14.6%
0.92 4637
12.8%
0.936 3874
10.7%
0.916 3622
 
10.0%
0.94 611
 
1.7%
0.912 434
 
1.2%
0.944 8
 
< 0.1%
ValueCountFrequency (%)
0.912 434
 
1.2%
0.916 3622
 
10.0%
0.92 4637
12.8%
0.924 8195
22.6%
0.928 9637
26.5%
ValueCountFrequency (%)
0.944 8
 
< 0.1%
0.94 611
 
1.7%
0.936 3874
10.7%
0.932 5296
14.6%
0.928 9637
26.5%

CJMPQXT
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.32496007
Minimum3.3
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:46.745972image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.312
Q13.32
median3.324
Q33.332
95-th percentile3.336
Maximum3.348
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007774816804
Coefficient of variation (CV)0.002338318849
Kurtosis-0.1209516585
Mean3.32496007
Median Absolute Deviation (MAD)0.004
Skewness-0.2334596531
Sum120742.6
Variance6.044777634 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:46.977634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.328 8450
23.3%
3.324 6587
18.1%
3.332 4986
13.7%
3.316 4825
13.3%
3.32 4700
12.9%
3.336 2873
 
7.9%
3.312 1137
 
3.1%
3.34 1043
 
2.9%
3.308 994
 
2.7%
3.304 434
 
1.2%
Other values (3) 285
 
0.8%
ValueCountFrequency (%)
3.3 3
 
< 0.1%
3.304 434
 
1.2%
3.308 994
 
2.7%
3.312 1137
 
3.1%
3.316 4825
13.3%
ValueCountFrequency (%)
3.348 18
 
< 0.1%
3.344 264
 
0.7%
3.34 1043
 
2.9%
3.336 2873
7.9%
3.332 4986
13.7%

UGXVMKE
Real number (ℝ)

Distinct30
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.55254172
Minimum21.5
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:47.219080image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum21.5
5-th percentile24
Q125.5
median28
Q329
95-th percentile31
Maximum37
Range15.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.148695746
Coefficient of variation (CV)0.07798539126
Kurtosis-0.7698025377
Mean27.55254172
Median Absolute Deviation (MAD)1.5
Skewness-0.1153749113
Sum1000543
Variance4.61689341
MonotonicityNot monotonic
2024-08-10T10:46:47.540318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28.5 3971
10.9%
28 3843
10.6%
29 3132
 
8.6%
27.5 2811
 
7.7%
29.5 2630
 
7.2%
25 2562
 
7.1%
24.5 2350
 
6.5%
25.5 2253
 
6.2%
30 2212
 
6.1%
27 1820
 
5.0%
Other values (20) 8730
24.0%
ValueCountFrequency (%)
21.5 1
 
< 0.1%
22 1
 
< 0.1%
22.5 25
 
0.1%
23 218
 
0.6%
23.5 739
2.0%
ValueCountFrequency (%)
37 2
 
< 0.1%
35.5 3
 
< 0.1%
35 3
 
< 0.1%
34.5 1
 
< 0.1%
34 12
< 0.1%

CZJWKNF
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.307864273
Minimum3.27352
Maximum3.34656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:47.916146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.27352
5-th percentile3.28016
Q13.30008
median3.30672
Q33.32
95-th percentile3.33328
Maximum3.34656
Range0.07304
Interquartile range (IQR)0.01992

Descriptive statistics

Standard deviation0.01533158134
Coefficient of variation (CV)0.004634888276
Kurtosis-0.648047381
Mean3.307864273
Median Absolute Deviation (MAD)0.01328
Skewness0.04022492657
Sum120121.7832
Variance0.0002350573863
MonotonicityNot monotonic
2024-08-10T10:46:48.294339image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.30672 7656
21.1%
3.31336 5377
14.8%
3.30008 4987
13.7%
3.32664 3914
10.8%
3.2868 3484
9.6%
3.32 2904
 
8.0%
3.29344 2488
 
6.9%
3.33328 2433
 
6.7%
3.28016 2379
 
6.6%
3.33992 512
 
1.4%
Other values (2) 180
 
0.5%
ValueCountFrequency (%)
3.27352 10
 
< 0.1%
3.28016 2379
6.6%
3.2868 3484
9.6%
3.29344 2488
6.9%
3.30008 4987
13.7%
ValueCountFrequency (%)
3.34656 170
 
0.5%
3.33992 512
 
1.4%
3.33328 2433
6.7%
3.32664 3914
10.8%
3.32 2904
8.0%

KRFHHDX
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean650.8813097
Minimum19
Maximum1003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:48.758395image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median1003
Q31003
95-th percentile1003
Maximum1003
Range984
Interquartile range (IQR)984

Descriptive statistics

Standard deviation471.6856976
Coefficient of variation (CV)0.724687728
Kurtosis-1.648379243
Mean650.8813097
Median Absolute Deviation (MAD)0
Skewness-0.5930503632
Sum23635453
Variance222487.3973
MonotonicityNot monotonic
2024-08-10T10:46:49.161960image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1003 23318
64.2%
19 12929
35.6%
28 66
 
0.2%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
19 12929
35.6%
28 66
 
0.2%
1003 23318
64.2%
ValueCountFrequency (%)
1003 23318
64.2%
28 66
 
0.2%
19 12929
35.6%

ZUEEBTY
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean153.5477653
Minimum140
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:49.474460image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile150
Q1150
median150
Q3160
95-th percentile160
Maximum160
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.810925528
Coefficient of variation (CV)0.03133178474
Kurtosis-1.578307307
Mean153.5477653
Median Absolute Deviation (MAD)0
Skewness0.5729290362
Sum5575780
Variance23.14500444
MonotonicityNot monotonic
2024-08-10T10:46:49.881944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
150 23338
64.3%
160 12929
35.6%
140 46
 
0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
140 46
 
0.1%
150 23338
64.3%
160 12929
35.6%
ValueCountFrequency (%)
160 12929
35.6%
150 23338
64.3%
140 46
 
0.1%

QVZRENP
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean47
Minimum47
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:50.324924image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile47
Q147
median47
Q347
95-th percentile47
Maximum47
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean47
Median Absolute Deviation (MAD)0
Skewness0
Sum1706711
Variance0
MonotonicityIncreasing
2024-08-10T10:46:50.708496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
47 36313
> 99.9%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
47 36313
> 99.9%
ValueCountFrequency (%)
47 36313
> 99.9%

EGWONKF
Real number (ℝ)

Distinct6935
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3461.770034
Minimum0
Maximum7000
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:51.093801image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile309
Q11689
median3502
Q35206
95-th percentile6598.35
Maximum7000
Range7000
Interquartile range (IQR)3517

Descriptive statistics

Standard deviation2021.68228
Coefficient of variation (CV)0.5840024786
Kurtosis-1.202491233
Mean3461.770034
Median Absolute Deviation (MAD)1757
Skewness0.002619499905
Sum125710717
Variance4087199.241
MonotonicityNot monotonic
2024-08-10T10:46:51.529591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
688 17
 
< 0.1%
897 17
 
< 0.1%
4623 17
 
< 0.1%
947 16
 
< 0.1%
57 16
 
< 0.1%
5874 15
 
< 0.1%
4663 15
 
< 0.1%
5641 15
 
< 0.1%
59 15
 
< 0.1%
5967 15
 
< 0.1%
Other values (6925) 36156
99.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 6
< 0.1%
2 6
< 0.1%
3 5
< 0.1%
4 3
< 0.1%
ValueCountFrequency (%)
7000 3
 
< 0.1%
6999 1
 
< 0.1%
6998 1
 
< 0.1%
6997 9
< 0.1%
6996 3
 
< 0.1%

SHLZRCB
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean14.56814093
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:52.046000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q115
median15
Q315
95-th percentile15
Maximum80
Range79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.909586146
Coefficient of variation (CV)0.1310796041
Kurtosis56.70427041
Mean14.56814093
Median Absolute Deviation (MAD)0
Skewness-0.9404693886
Sum429192
Variance3.646519249
MonotonicityNot monotonic
2024-08-10T10:46:52.495381image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
15 27296
75.2%
8 1816
 
5.0%
24 126
 
0.3%
10 60
 
0.2%
14 35
 
0.1%
6 28
 
0.1%
7 21
 
0.1%
12 17
 
< 0.1%
9 16
 
< 0.1%
13 13
 
< 0.1%
Other values (8) 33
 
0.1%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 3
 
< 0.1%
3 6
< 0.1%
4 9
< 0.1%
5 6
< 0.1%
ValueCountFrequency (%)
80 1
 
< 0.1%
26 2
 
< 0.1%
24 126
 
0.3%
15 27296
75.2%
14 35
 
0.1%

UILLRWJ
Real number (ℝ)

MISSING 

Distinct4306
Distinct (%)14.6%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean1535.969247
Minimum0
Maximum5587
Zeros12
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:52.792150image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile122
Q1656
median1396
Q32273
95-th percentile3468
Maximum5587
Range5587
Interquartile range (IQR)1617

Descriptive statistics

Standard deviation1068.970066
Coefficient of variation (CV)0.6959579873
Kurtosis0.2668049068
Mean1535.969247
Median Absolute Deviation (MAD)797
Skewness0.7296722896
Sum45251190
Variance1142697.002
MonotonicityNot monotonic
2024-08-10T10:46:53.090399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 59
 
0.2%
259 22
 
0.1%
1047 22
 
0.1%
223 21
 
0.1%
1936 21
 
0.1%
727 21
 
0.1%
241 20
 
0.1%
258 20
 
0.1%
1866 20
 
0.1%
880 20
 
0.1%
Other values (4296) 29215
80.5%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
0 12
< 0.1%
1 12
< 0.1%
2 10
< 0.1%
3 17
< 0.1%
4 10
< 0.1%
ValueCountFrequency (%)
5587 1
< 0.1%
5583 1
< 0.1%
5576 1
< 0.1%
5561 1
< 0.1%
5521 1
< 0.1%

RTYTHAC
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean6.778147381
Minimum0
Maximum15
Zeros2042
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:53.350433image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q311
95-th percentile14
Maximum15
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.318607694
Coefficient of variation (CV)0.6371368828
Kurtosis-1.197671132
Mean6.778147381
Median Absolute Deviation (MAD)4
Skewness0.08334621549
Sum199691
Variance18.65037241
MonotonicityNot monotonic
2024-08-10T10:46:53.580912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 2148
 
5.9%
1 2100
 
5.8%
5 2076
 
5.7%
3 2064
 
5.7%
4 2058
 
5.7%
6 2046
 
5.6%
0 2042
 
5.6%
7 2031
 
5.6%
10 1881
 
5.2%
8 1867
 
5.1%
Other values (6) 9148
25.2%
(Missing) 6853
18.9%
ValueCountFrequency (%)
0 2042
5.6%
1 2100
5.8%
2 2148
5.9%
3 2064
5.7%
4 2058
5.7%
ValueCountFrequency (%)
15 53
 
0.1%
14 1815
5.0%
13 1837
5.1%
12 1845
5.1%
11 1822
5.0%

VSPXQWL
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean3065.614813
Minimum50
Maximum5600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:53.825476image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile1200
Q13000
median3000
Q33000
95-th percentile5000
Maximum5600
Range5550
Interquartile range (IQR)0

Descriptive statistics

Standard deviation915.6170576
Coefficient of variation (CV)0.2986732233
Kurtosis1.310462984
Mean3065.614813
Median Absolute Deviation (MAD)0
Skewness0.07451526481
Sum90316078
Variance838354.5962
MonotonicityNot monotonic
2024-08-10T10:46:54.053730image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3000 16297
44.9%
2000 2846
 
7.8%
4000 2779
 
7.7%
5000 1885
 
5.2%
3932 1489
 
4.1%
1000 970
 
2.7%
2922 580
 
1.6%
2600 572
 
1.6%
2500 511
 
1.4%
5600 381
 
1.0%
Other values (9) 1151
 
3.2%
(Missing) 6853
18.9%
ValueCountFrequency (%)
50 16
 
< 0.1%
70 88
 
0.2%
80 3
 
< 0.1%
100 49
 
0.1%
915 296
0.8%
ValueCountFrequency (%)
5600 381
 
1.0%
5000 1885
 
5.2%
4000 2779
 
7.7%
3932 1489
 
4.1%
3000 16297
44.9%

EHAPOTE
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:54.277028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:46:54.478361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

XEUMIIT
Real number (ℝ)

Distinct25
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2119.884783
Minimum2097
Maximum2127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:54.713196image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2097
5-th percentile2113
Q12118
median2121
Q32123
95-th percentile2124
Maximum2127
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.894598747
Coefficient of variation (CV)0.001837174727
Kurtosis0.1762556817
Mean2119.884783
Median Absolute Deviation (MAD)3
Skewness-0.787460994
Sum76981496
Variance15.1678994
MonotonicityNot monotonic
2024-08-10T10:46:54.975756image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2124 5260
14.5%
2122 4773
13.1%
2113 4733
13.0%
2118 4282
11.8%
2123 3976
10.9%
2121 3968
10.9%
2116 2608
7.2%
2120 2603
7.2%
2119 1772
 
4.9%
2125 808
 
2.2%
Other values (15) 1531
 
4.2%
ValueCountFrequency (%)
2097 4
 
< 0.1%
2099 1
 
< 0.1%
2101 7
 
< 0.1%
2102 1
 
< 0.1%
2104 57
0.2%
ValueCountFrequency (%)
2127 91
 
0.3%
2126 738
 
2.0%
2125 808
 
2.2%
2124 5260
14.5%
2123 3976
10.9%

JYNEQWD
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.058957978
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:55.206919image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2668996009
Coefficient of variation (CV)0.2520398416
Kurtosis34.8874705
Mean1.058957978
Median Absolute Deviation (MAD)0
Skewness5.295746957
Sum38455
Variance0.07123539696
MonotonicityNot monotonic
2024-08-10T10:46:55.438078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 34421
94.8%
2 1678
 
4.6%
3 186
 
0.5%
4 26
 
0.1%
5 2
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
1 34421
94.8%
2 1678
 
4.6%
3 186
 
0.5%
4 26
 
0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 2
 
< 0.1%
4 26
 
0.1%
3 186
 
0.5%
2 1678
4.6%

PINNYVT
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:55.663675image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:46:55.858168image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

JZJOQOG
Real number (ℝ)

Distinct50
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean25.23601663
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:56.158924image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q115
median25
Q335
95-th percentile45
Maximum50
Range49
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.10688119
Coefficient of variation (CV)0.4797461251
Kurtosis-0.9732956341
Mean25.23601663
Median Absolute Deviation (MAD)10
Skewness-0.01244812798
Sum916345
Variance146.5765722
MonotonicityNot monotonic
2024-08-10T10:46:56.467964image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 1172
 
3.2%
27 1163
 
3.2%
31 1147
 
3.2%
23 1136
 
3.1%
35 1096
 
3.0%
15 1080
 
3.0%
11 962
 
2.6%
30 952
 
2.6%
22 947
 
2.6%
25 942
 
2.6%
Other values (40) 25714
70.8%
ValueCountFrequency (%)
1 166
 
0.5%
2 263
0.7%
3 468
1.3%
4 363
1.0%
5 465
1.3%
ValueCountFrequency (%)
50 1
 
< 0.1%
49 178
 
0.5%
48 319
0.9%
47 474
1.3%
46 421
1.2%

KMGNWGY
Real number (ℝ)

Distinct36
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.50150092
Minimum3
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:56.744640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q117
median28
Q339
95-th percentile48
Maximum54
Range51
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.13857426
Coefficient of variation (CV)0.4777402621
Kurtosis-0.9902074379
Mean27.50150092
Median Absolute Deviation (MAD)11
Skewness0.01709809786
Sum998607
Variance172.6221335
MonotonicityNot monotonic
2024-08-10T10:46:57.044306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
28 1712
 
4.7%
29 1663
 
4.6%
35 1623
 
4.5%
24 1620
 
4.5%
23 1596
 
4.4%
22 1582
 
4.4%
17 1564
 
4.3%
30 1561
 
4.3%
36 1560
 
4.3%
34 1552
 
4.3%
Other values (26) 20278
55.8%
ValueCountFrequency (%)
3 119
 
0.3%
4 714
2.0%
5 888
2.4%
6 889
2.4%
9 267
 
0.7%
ValueCountFrequency (%)
54 107
 
0.3%
53 378
 
1.0%
52 521
1.4%
51 131
 
0.4%
48 1020
2.8%

LZIQISI
Real number (ℝ)

Distinct51
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean25.22896643
Minimum0
Maximum50
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:57.324605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q115
median25
Q335
95-th percentile45
Maximum50
Range50
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.12846909
Coefficient of variation (CV)0.4807358685
Kurtosis-0.9661152334
Mean25.22896643
Median Absolute Deviation (MAD)10
Skewness-0.01380749685
Sum916089
Variance147.0997624
MonotonicityNot monotonic
2024-08-10T10:46:57.629780image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 1197
 
3.3%
27 1173
 
3.2%
31 1104
 
3.0%
19 1087
 
3.0%
35 1061
 
2.9%
15 1034
 
2.8%
28 939
 
2.6%
39 923
 
2.5%
22 905
 
2.5%
25 902
 
2.5%
Other values (41) 25986
71.6%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 156
 
0.4%
2 279
0.8%
3 497
1.4%
4 414
1.1%
ValueCountFrequency (%)
50 9
 
< 0.1%
49 212
0.6%
48 283
0.8%
47 474
1.3%
46 467
1.3%

DEAUOMN
Real number (ℝ)

Distinct37
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.48280135
Minimum0
Maximum54
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:57.903478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q117
median28
Q339
95-th percentile48
Maximum54
Range54
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.14005757
Coefficient of variation (CV)0.4781192935
Kurtosis-0.9907607528
Mean27.48280135
Median Absolute Deviation (MAD)11
Skewness0.01703571393
Sum997928
Variance172.6611129
MonotonicityNot monotonic
2024-08-10T10:46:58.223502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
28 1708
 
4.7%
29 1673
 
4.6%
24 1643
 
4.5%
35 1608
 
4.4%
23 1587
 
4.4%
22 1581
 
4.4%
34 1571
 
4.3%
36 1555
 
4.3%
17 1550
 
4.3%
30 1535
 
4.2%
Other values (27) 20300
55.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
3 122
 
0.3%
4 706
1.9%
5 890
2.5%
6 913
2.5%
ValueCountFrequency (%)
54 103
 
0.3%
53 383
 
1.1%
52 510
1.4%
51 136
 
0.4%
48 1027
2.8%

QUOCEYV
Real number (ℝ)

Distinct34
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.161899755
Minimum1.145
Maximum1.209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:58.498336image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.145
5-th percentile1.15
Q11.156
median1.16
Q31.17
95-th percentile1.174
Maximum1.209
Range0.064
Interquartile range (IQR)0.014

Descriptive statistics

Standard deviation0.007793674934
Coefficient of variation (CV)0.006707699956
Kurtosis-1.230233746
Mean1.161899755
Median Absolute Deviation (MAD)0.007
Skewness0.1398016512
Sum42189.742
Variance6.074136898 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:58.753066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1.159 2645
 
7.3%
1.172 2393
 
6.6%
1.156 2322
 
6.4%
1.157 2199
 
6.1%
1.17 2164
 
6.0%
1.158 1993
 
5.5%
1.173 1750
 
4.8%
1.171 1653
 
4.6%
1.155 1491
 
4.1%
1.154 1457
 
4.0%
Other values (24) 16244
44.7%
ValueCountFrequency (%)
1.145 1
 
< 0.1%
1.146 12
 
< 0.1%
1.147 107
 
0.3%
1.148 410
1.1%
1.149 592
1.6%
ValueCountFrequency (%)
1.209 1
 
< 0.1%
1.177 31
 
0.1%
1.176 140
 
0.4%
1.175 795
2.2%
1.174 964
2.7%

ENIRWLT
Real number (ℝ)

Distinct36
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.098029413
Minimum1.083
Maximum1.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:59.046661image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.083
5-th percentile1.088
Q11.092
median1.095
Q31.107
95-th percentile1.111
Maximum1.21
Range0.127
Interquartile range (IQR)0.015

Descriptive statistics

Standard deviation0.007830419303
Coefficient of variation (CV)0.00713133839
Kurtosis0.02224603269
Mean1.098029413
Median Absolute Deviation (MAD)0.004
Skewness0.5654607053
Sum39870.546
Variance6.131546647 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:59.330595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1.093 3061
 
8.4%
1.094 2984
 
8.2%
1.092 2941
 
8.1%
1.095 2613
 
7.2%
1.091 2182
 
6.0%
1.109 2079
 
5.7%
1.108 2027
 
5.6%
1.096 1901
 
5.2%
1.107 1663
 
4.6%
1.09 1519
 
4.2%
Other values (26) 13341
36.7%
ValueCountFrequency (%)
1.083 1
 
< 0.1%
1.084 17
 
< 0.1%
1.085 167
 
0.5%
1.086 548
1.5%
1.087 807
2.2%
ValueCountFrequency (%)
1.21 1
 
< 0.1%
1.117 11
 
< 0.1%
1.116 89
 
0.2%
1.115 148
0.4%
1.114 271
0.7%

FUVDFEM
Real number (ℝ)

Distinct33
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.203216326
Minimum1.186
Maximum1.218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:46:59.609999image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.186
5-th percentile1.192
Q11.197
median1.205
Q31.21
95-th percentile1.213
Maximum1.218
Range0.032
Interquartile range (IQR)0.013

Descriptive statistics

Standard deviation0.007359610054
Coefficient of variation (CV)0.006116614193
Kurtosis-1.279617523
Mean1.203216326
Median Absolute Deviation (MAD)0.006
Skewness-0.2422402257
Sum43689.988
Variance5.416386015 × 10-5
MonotonicityNot monotonic
2024-08-10T10:46:59.866285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1.211 3581
 
9.9%
1.208 3021
 
8.3%
1.194 2191
 
6.0%
1.197 2075
 
5.7%
1.213 1932
 
5.3%
1.209 1876
 
5.2%
1.21 1851
 
5.1%
1.212 1607
 
4.4%
1.2 1495
 
4.1%
1.202 1470
 
4.0%
Other values (23) 15212
41.9%
ValueCountFrequency (%)
1.186 14
 
< 0.1%
1.187 39
 
0.1%
1.188 66
 
0.2%
1.189 473
1.3%
1.19 376
1.0%
ValueCountFrequency (%)
1.218 1
 
< 0.1%
1.217 3
 
< 0.1%
1.216 140
 
0.4%
1.215 297
0.8%
1.214 501
1.4%

WJKYEMG
Real number (ℝ)

Distinct1604
Distinct (%)4.4%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean29.77224701
Minimum25.886
Maximum43.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:00.176858image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum25.886
5-th percentile27.938
Q128.868
median29.467
Q330.101
95-th percentile31.438
Maximum43.352
Range17.466
Interquartile range (IQR)1.233

Descriptive statistics

Standard deviation2.045986471
Coefficient of variation (CV)0.06872126483
Kurtosis15.80970051
Mean29.77224701
Median Absolute Deviation (MAD)0.615
Skewness3.687401494
Sum1081060.061
Variance4.18606064
MonotonicityNot monotonic
2024-08-10T10:47:00.480957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.5 447
 
1.2%
29.75 407
 
1.1%
29.313 396
 
1.1%
29.375 396
 
1.1%
29.688 386
 
1.1%
29.938 366
 
1.0%
30.063 354
 
1.0%
28.875 348
 
1.0%
29.188 345
 
1.0%
29 330
 
0.9%
Other values (1594) 32536
89.6%
ValueCountFrequency (%)
25.886 1
< 0.1%
25.985 2
< 0.1%
26.005 2
< 0.1%
26.063 1
< 0.1%
26.188 1
< 0.1%
ValueCountFrequency (%)
43.352 1
< 0.1%
43.349 1
< 0.1%
42.909 1
< 0.1%
42.861 1
< 0.1%
42.563 1
< 0.1%

MNRQQJW
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.330561467
Minimum3.308
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:00.781353image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.32
Q13.324
median3.332
Q33.336
95-th percentile3.344
Maximum3.352
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007957269327
Coefficient of variation (CV)0.002389167534
Kurtosis-0.3613146386
Mean3.330561467
Median Absolute Deviation (MAD)0.004
Skewness0.1078501729
Sum120939.348
Variance6.331813514 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:01.006964image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.328 6980
19.2%
3.324 6414
17.7%
3.332 6042
16.6%
3.336 5761
15.9%
3.34 3036
8.4%
3.32 3004
8.3%
3.344 2492
 
6.9%
3.316 1025
 
2.8%
3.348 820
 
2.3%
3.312 600
 
1.7%
Other values (2) 138
 
0.4%
ValueCountFrequency (%)
3.308 38
 
0.1%
3.312 600
 
1.7%
3.316 1025
 
2.8%
3.32 3004
8.3%
3.324 6414
17.7%
ValueCountFrequency (%)
3.352 100
 
0.3%
3.348 820
 
2.3%
3.344 2492
6.9%
3.34 3036
8.4%
3.336 5761
15.9%

MYQWZZC
Real number (ℝ)

Distinct24
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1950088125
Minimum0.08
Maximum0.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:01.287517image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.16
Q10.18
median0.2
Q30.21
95-th percentile0.22
Maximum0.39
Range0.31
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.02003425585
Coefficient of variation (CV)0.1027351308
Kurtosis3.255656775
Mean0.1950088125
Median Absolute Deviation (MAD)0.01
Skewness-0.3826640087
Sum7081.16
Variance0.0004013714076
MonotonicityNot monotonic
2024-08-10T10:47:01.521945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.2 8228
22.7%
0.19 7822
21.5%
0.21 5815
16.0%
0.18 5330
14.7%
0.22 3057
 
8.4%
0.17 2559
 
7.0%
0.23 1108
 
3.1%
0.16 832
 
2.3%
0.24 326
 
0.9%
0.15 325
 
0.9%
Other values (14) 910
 
2.5%
ValueCountFrequency (%)
0.08 1
 
< 0.1%
0.09 9
 
< 0.1%
0.1 22
 
0.1%
0.11 79
0.2%
0.12 134
0.4%
ValueCountFrequency (%)
0.39 3
 
< 0.1%
0.3 7
 
< 0.1%
0.29 13
 
< 0.1%
0.28 31
0.1%
0.27 37
0.1%

EFOYHEQ
Real number (ℝ)

Distinct27
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean39.02864067
Minimum16
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:01.767752image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile32
Q136
median40
Q342
95-th percentile44
Maximum76
Range60
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.037069746
Coefficient of variation (CV)0.103438646
Kurtosis3.339470317
Mean39.02864067
Median Absolute Deviation (MAD)2
Skewness-0.3921639582
Sum1417208
Variance16.29793213
MonotonicityNot monotonic
2024-08-10T10:47:02.008564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
40 8200
22.6%
38 7640
21.0%
42 5926
16.3%
36 5296
14.6%
44 3093
 
8.5%
34 2610
 
7.2%
46 1156
 
3.2%
32 866
 
2.4%
48 333
 
0.9%
30 296
 
0.8%
Other values (17) 896
 
2.5%
ValueCountFrequency (%)
16 2
 
< 0.1%
18 4
 
< 0.1%
20 33
 
0.1%
22 94
0.3%
24 154
0.4%
ValueCountFrequency (%)
76 3
< 0.1%
66 3
< 0.1%
64 2
 
< 0.1%
62 1
 
< 0.1%
60 7
< 0.1%

YUQMZWO
Real number (ℝ)

Distinct170
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1299571379
Minimum0.073392
Maximum0.246272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:02.315130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.073392
5-th percentile0.112608
Q10.12024
median0.1328
Q30.139608
95-th percentile0.147136
Maximum0.246272
Range0.17288
Interquartile range (IQR)0.019368

Descriptive statistics

Standard deviation0.01312695107
Coefficient of variation (CV)0.1010098505
Kurtosis2.503855568
Mean0.1299571379
Median Absolute Deviation (MAD)0.006976
Skewness-0.2111707885
Sum4719.003592
Variance0.0001723168444
MonotonicityNot monotonic
2024-08-10T10:47:02.694916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.126464 1667
 
4.6%
0.13312 1579
 
4.3%
0.13296 1520
 
4.2%
0.13328 1509
 
4.2%
0.126312 1303
 
3.6%
0.126616 1222
 
3.4%
0.13344 1221
 
3.4%
0.126768 1215
 
3.3%
0.139608 1201
 
3.3%
0.139776 1163
 
3.2%
Other values (160) 22712
62.5%
ValueCountFrequency (%)
0.073392 1
 
< 0.1%
0.080064 82
0.2%
0.08016 76
0.2%
0.080256 9
 
< 0.1%
0.080352 10
 
< 0.1%
ValueCountFrequency (%)
0.246272 3
< 0.1%
0.20708 2
 
< 0.1%
0.2004 5
< 0.1%
0.20016 2
 
< 0.1%
0.19372 5
< 0.1%

TPYJDFW
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.327240802
Minimum3.304
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:03.123466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.32
median3.328
Q33.332
95-th percentile3.34
Maximum3.352
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007987263739
Coefficient of variation (CV)0.00240056678
Kurtosis-0.3767834639
Mean3.327240802
Median Absolute Deviation (MAD)0.004
Skewness0.1320948224
Sum120818.768
Variance6.379638203 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:03.536989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.324 6970
19.2%
3.328 6123
16.9%
3.332 6023
16.6%
3.32 5894
16.2%
3.336 3373
9.3%
3.316 2667
 
7.3%
3.34 2569
 
7.1%
3.344 1099
 
3.0%
3.312 966
 
2.7%
3.308 414
 
1.1%
Other values (3) 214
 
0.6%
ValueCountFrequency (%)
3.304 13
 
< 0.1%
3.308 414
 
1.1%
3.312 966
 
2.7%
3.316 2667
7.3%
3.32 5894
16.2%
ValueCountFrequency (%)
3.352 2
 
< 0.1%
3.348 199
 
0.5%
3.344 1099
 
3.0%
3.34 2569
7.1%
3.336 3373
9.3%

HCBDBBS
Real number (ℝ)

Distinct101
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.094206323
Minimum0.76
Maximum1.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:04.005831image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.76
5-th percentile0.89
Q10.95
median1.04
Q31.24
95-th percentile1.38
Maximum1.77
Range1.01
Interquartile range (IQR)0.29

Descriptive statistics

Standard deviation0.1668186701
Coefficient of variation (CV)0.1524563207
Kurtosis-0.4943423692
Mean1.094206323
Median Absolute Deviation (MAD)0.12
Skewness0.5877613326
Sum39732.82
Variance0.02782846868
MonotonicityNot monotonic
2024-08-10T10:47:04.494504image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.94 1449
 
4.0%
0.96 1445
 
4.0%
0.95 1443
 
4.0%
0.97 1326
 
3.7%
0.93 1255
 
3.5%
0.98 1244
 
3.4%
0.99 1154
 
3.2%
0.92 1075
 
3.0%
1 972
 
2.7%
0.91 962
 
2.6%
Other values (91) 23987
66.1%
ValueCountFrequency (%)
0.76 1
 
< 0.1%
0.77 6
 
< 0.1%
0.78 2
 
< 0.1%
0.79 14
< 0.1%
0.8 25
0.1%
ValueCountFrequency (%)
1.77 1
 
< 0.1%
1.75 3
< 0.1%
1.74 2
 
< 0.1%
1.73 5
< 0.1%
1.72 7
< 0.1%

NLRRCWZ
Real number (ℝ)

Distinct101
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean218.8411544
Minimum152
Maximum352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:04.946148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum152
5-th percentile178
Q1190
median208
Q3248
95-th percentile274
Maximum352
Range200
Interquartile range (IQR)58

Descriptive statistics

Standard deviation33.36562865
Coefficient of variation (CV)0.152465055
Kurtosis-0.487534414
Mean218.8411544
Median Absolute Deviation (MAD)24
Skewness0.5901631866
Sum7946560
Variance1113.265175
MonotonicityNot monotonic
2024-08-10T10:47:05.422448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190 1475
 
4.1%
192 1429
 
3.9%
188 1414
 
3.9%
194 1314
 
3.6%
186 1282
 
3.5%
196 1220
 
3.4%
184 1162
 
3.2%
198 1084
 
3.0%
200 984
 
2.7%
182 945
 
2.6%
Other values (91) 24003
66.1%
ValueCountFrequency (%)
152 1
 
< 0.1%
154 3
 
< 0.1%
156 3
 
< 0.1%
158 10
< 0.1%
160 16
< 0.1%
ValueCountFrequency (%)
352 2
 
< 0.1%
350 3
 
< 0.1%
348 6
< 0.1%
346 8
< 0.1%
344 3
 
< 0.1%

TZNKMJP
Real number (ℝ)

Distinct882
Distinct (%)2.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.7280050412
Minimum0.487056
Maximum1.1634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:05.965228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.487056
5-th percentile0.591672
Q10.63384
median0.69472
Q30.82164
95-th percentile0.91516
Maximum1.1634
Range0.676344
Interquartile range (IQR)0.1878

Descriptive statistics

Standard deviation0.1109418236
Coefficient of variation (CV)0.1523915596
Kurtosis-0.4890279878
Mean0.7280050412
Median Absolute Deviation (MAD)0.08016
Skewness0.5887833602
Sum26435.31906
Variance0.01230808822
MonotonicityNot monotonic
2024-08-10T10:47:06.471190image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.624912 307
 
0.8%
0.63156 294
 
0.8%
0.646408 279
 
0.8%
0.639744 278
 
0.8%
0.644856 276
 
0.8%
0.638208 269
 
0.7%
0.625664 265
 
0.7%
0.645632 255
 
0.7%
0.638976 255
 
0.7%
0.651504 255
 
0.7%
Other values (872) 33579
92.5%
ValueCountFrequency (%)
0.487056 2
< 0.1%
0.507072 1
 
< 0.1%
0.513744 4
< 0.1%
0.51792 1
 
< 0.1%
0.520416 3
< 0.1%
ValueCountFrequency (%)
1.1634 1
< 0.1%
1.158144 1
< 0.1%
1.156752 2
< 0.1%
1.15536 1
< 0.1%
1.154256 2
< 0.1%

WZZGTQB
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.329784093
Minimum3.308
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:06.930234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.316
Q13.324
median3.328
Q33.336
95-th percentile3.344
Maximum3.352
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007963459436
Coefficient of variation (CV)0.002391584323
Kurtosis-0.3597647402
Mean3.329784093
Median Absolute Deviation (MAD)0.004
Skewness0.1206754144
Sum120911.12
Variance6.341668619 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:07.401952image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.324 6744
18.6%
3.328 6664
18.4%
3.332 6311
17.4%
3.336 4946
13.6%
3.32 3802
10.5%
3.34 3134
8.6%
3.344 2050
 
5.6%
3.316 1171
 
3.2%
3.312 726
 
2.0%
3.348 614
 
1.7%
Other values (2) 150
 
0.4%
ValueCountFrequency (%)
3.308 74
 
0.2%
3.312 726
 
2.0%
3.316 1171
 
3.2%
3.32 3802
10.5%
3.324 6744
18.6%
ValueCountFrequency (%)
3.352 76
 
0.2%
3.348 614
 
1.7%
3.344 2050
5.6%
3.34 3134
8.6%
3.336 4946
13.6%

CHWVXPB
Real number (ℝ)

Distinct41
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.415928894
Minimum0.22
Maximum0.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:07.783357image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile0.32
Q10.34
median0.36
Q30.53
95-th percentile0.56
Maximum0.64
Range0.42
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.09615414143
Coefficient of variation (CV)0.231179278
Kurtosis-1.485135055
Mean0.415928894
Median Absolute Deviation (MAD)0.03
Skewness0.5552647859
Sum15103.21
Variance0.009245618914
MonotonicityNot monotonic
2024-08-10T10:47:08.061403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.35 5279
14.5%
0.34 4815
13.3%
0.36 3913
10.8%
0.33 3089
8.5%
0.54 2535
 
7.0%
0.55 2483
 
6.8%
0.53 2193
 
6.0%
0.37 2130
 
5.9%
0.56 1791
 
4.9%
0.32 1528
 
4.2%
Other values (31) 6556
18.1%
ValueCountFrequency (%)
0.22 1
 
< 0.1%
0.25 11
 
< 0.1%
0.26 54
 
0.1%
0.27 81
0.2%
0.28 157
0.4%
ValueCountFrequency (%)
0.64 4
 
< 0.1%
0.63 1
 
< 0.1%
0.62 10
 
< 0.1%
0.61 7
 
< 0.1%
0.6 44
0.1%

CFAIUJQ
Real number (ℝ)

Distinct41
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean83.13912756
Minimum48
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:08.327535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile64
Q168
median72
Q3106
95-th percentile112
Maximum128
Range80
Interquartile range (IQR)38

Descriptive statistics

Standard deviation19.24399193
Coefficient of variation (CV)0.2314673307
Kurtosis-1.481904803
Mean83.13912756
Median Absolute Deviation (MAD)6
Skewness0.5541768724
Sum3018948
Variance370.3312255
MonotonicityNot monotonic
2024-08-10T10:47:08.635537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
70 5177
14.3%
68 4822
13.3%
72 3955
10.9%
66 3068
8.4%
108 2561
 
7.1%
110 2418
 
6.7%
74 2189
 
6.0%
106 2091
 
5.8%
112 1741
 
4.8%
64 1590
 
4.4%
Other values (31) 6700
18.5%
ValueCountFrequency (%)
48 2
 
< 0.1%
50 10
 
< 0.1%
52 46
 
0.1%
54 113
0.3%
56 183
0.5%
ValueCountFrequency (%)
128 1
 
< 0.1%
126 9
 
< 0.1%
124 2
 
< 0.1%
122 11
 
< 0.1%
120 41
0.1%

OMPWYAA
Real number (ℝ)

Distinct326
Distinct (%)0.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2769756083
Minimum0.160512
Maximum0.43368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:08.927035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.160512
5-th percentile0.212992
Q10.226576
median0.239904
Q30.353192
95-th percentile0.37408
Maximum0.43368
Range0.273168
Interquartile range (IQR)0.126616

Descriptive statistics

Standard deviation0.06405609327
Coefficient of variation (CV)0.2312697991
Kurtosis-1.484250899
Mean0.2769756083
Median Absolute Deviation (MAD)0.019728
Skewness0.5573253483
Sum10057.53829
Variance0.004103183085
MonotonicityNot monotonic
2024-08-10T10:47:09.215144image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.23324 1005
 
2.8%
0.23296 992
 
2.7%
0.226304 955
 
2.6%
0.226576 895
 
2.5%
0.23268 888
 
2.4%
0.239616 803
 
2.2%
0.239328 761
 
2.1%
0.226032 759
 
2.1%
0.239904 742
 
2.0%
0.226848 692
 
1.9%
Other values (316) 27820
76.6%
ValueCountFrequency (%)
0.160512 1
 
< 0.1%
0.1668 11
< 0.1%
0.167 4
 
< 0.1%
0.1672 1
 
< 0.1%
0.17264 4
 
< 0.1%
ValueCountFrequency (%)
0.43368 1
 
< 0.1%
0.43212 1
 
< 0.1%
0.42752 1
 
< 0.1%
0.420336 2
 
< 0.1%
0.413168 5
< 0.1%

HJVHTYM
Real number (ℝ)

Distinct1043
Distinct (%)2.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean25.1882793
Minimum21.907
Maximum28.567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:09.514663image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum21.907
5-th percentile23.75
Q124.625
median25.206
Q325.75
95-th percentile26.5
Maximum28.567
Range6.66
Interquartile range (IQR)1.125

Descriptive statistics

Standard deviation0.8400641263
Coefficient of variation (CV)0.03335139
Kurtosis-0.03944185048
Mean25.1882793
Median Absolute Deviation (MAD)0.567
Skewness-0.1481805248
Sum914636.798
Variance0.7057077363
MonotonicityNot monotonic
2024-08-10T10:47:09.811705image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.563 1326
 
3.7%
25.063 584
 
1.6%
25.188 449
 
1.2%
25.5 415
 
1.1%
25.125 400
 
1.1%
24.875 360
 
1.0%
25.938 357
 
1.0%
26.063 354
 
1.0%
24.625 343
 
0.9%
24.813 338
 
0.9%
Other values (1033) 31386
86.4%
ValueCountFrequency (%)
21.907 1
< 0.1%
21.938 1
< 0.1%
22.006 1
< 0.1%
22.074 2
< 0.1%
22.204 1
< 0.1%
ValueCountFrequency (%)
28.567 1
< 0.1%
28.448 1
< 0.1%
28.281 1
< 0.1%
28.183 1
< 0.1%
28.125 1
< 0.1%

PWRCZZP
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.043420467
Minimum3.02
Maximum3.064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:10.075812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.02
5-th percentile3.028
Q13.036
median3.044
Q33.048
95-th percentile3.06
Maximum3.064
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008951209874
Coefficient of variation (CV)0.002941167667
Kurtosis-0.3492550597
Mean3.043420467
Median Absolute Deviation (MAD)0.004
Skewness0.002597080335
Sum110512.684
Variance8.012415821 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:10.306266image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.044 7552
20.8%
3.04 6387
17.6%
3.048 5034
13.9%
3.036 3889
10.7%
3.052 3204
8.8%
3.028 3030
8.3%
3.056 2962
 
8.2%
3.032 1734
 
4.8%
3.06 1373
 
3.8%
3.064 627
 
1.7%
Other values (2) 520
 
1.4%
ValueCountFrequency (%)
3.02 129
 
0.4%
3.024 391
 
1.1%
3.028 3030
8.3%
3.032 1734
4.8%
3.036 3889
10.7%
ValueCountFrequency (%)
3.064 627
 
1.7%
3.06 1373
 
3.8%
3.056 2962
8.2%
3.052 3204
8.8%
3.048 5034
13.9%

QALPUXN
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.67266876
Minimum1.648
Maximum1.696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:10.524760image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.648
5-th percentile1.66
Q11.668
median1.672
Q31.676
95-th percentile1.684
Maximum1.696
Range0.048
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007299386271
Coefficient of variation (CV)0.004363916184
Kurtosis0.08102956688
Mean1.67266876
Median Absolute Deviation (MAD)0.004
Skewness-0.159448719
Sum60737.948
Variance5.328103993 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:10.775605image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.672 8253
22.7%
1.676 7740
21.3%
1.668 5487
15.1%
1.68 5068
14.0%
1.664 3864
10.6%
1.684 2029
 
5.6%
1.66 1841
 
5.1%
1.688 881
 
2.4%
1.656 606
 
1.7%
1.652 238
 
0.7%
Other values (3) 305
 
0.8%
ValueCountFrequency (%)
1.648 55
 
0.2%
1.652 238
 
0.7%
1.656 606
 
1.7%
1.66 1841
5.1%
1.664 3864
10.6%
ValueCountFrequency (%)
1.696 16
 
< 0.1%
1.692 234
 
0.6%
1.688 881
 
2.4%
1.684 2029
5.6%
1.68 5068
14.0%

BQLPPBV
Real number (ℝ)

Distinct22
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.06888907
Minimum22
Maximum32.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:11.013268image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24
Q127
median28.5
Q329.5
95-th percentile31
Maximum32.5
Range10.5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.024524828
Coefficient of variation (CV)0.07212700234
Kurtosis-0.2718324532
Mean28.06888907
Median Absolute Deviation (MAD)1.5
Skewness-0.524863097
Sum1019237.5
Variance4.098700779
MonotonicityNot monotonic
2024-08-10T10:47:11.286826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
27.5 4062
11.2%
29 4053
11.2%
28 3485
9.6%
28.5 3327
9.2%
29.5 3186
8.8%
27 3124
8.6%
30 2672
 
7.4%
30.5 2283
 
6.3%
31 1725
 
4.8%
24.5 1539
 
4.2%
Other values (12) 6856
18.9%
ValueCountFrequency (%)
22 7
 
< 0.1%
22.5 48
 
0.1%
23 299
 
0.8%
23.5 630
1.7%
24 1059
2.9%
ValueCountFrequency (%)
32.5 6
 
< 0.1%
32 233
 
0.6%
31.5 800
 
2.2%
31 1725
4.8%
30.5 2283
6.3%

QYDTWHL
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.043407138
Minimum3.02
Maximum3.064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:11.534050image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.02
5-th percentile3.028
Q13.036
median3.044
Q33.048
95-th percentile3.06
Maximum3.064
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008951395335
Coefficient of variation (CV)0.002941241487
Kurtosis-0.3462120693
Mean3.043407138
Median Absolute Deviation (MAD)0.004
Skewness0.00542283122
Sum110512.2
Variance8.012747844 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:11.781698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.044 7509
20.7%
3.04 6442
17.7%
3.048 5073
14.0%
3.036 3865
10.6%
3.052 3166
8.7%
3.028 3025
8.3%
3.056 2950
 
8.1%
3.032 1753
 
4.8%
3.06 1373
 
3.8%
3.064 631
 
1.7%
Other values (2) 525
 
1.4%
ValueCountFrequency (%)
3.02 128
 
0.4%
3.024 397
 
1.1%
3.028 3025
8.3%
3.032 1753
4.8%
3.036 3865
10.6%
ValueCountFrequency (%)
3.064 631
 
1.7%
3.06 1373
 
3.8%
3.056 2950
8.1%
3.052 3166
8.7%
3.048 5073
14.0%

BTKTNSN
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9258262833
Minimum0.908
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:12.013492image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.908
5-th percentile0.916
Q10.92
median0.928
Q30.932
95-th percentile0.936
Maximum0.944
Range0.036
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.006059694499
Coefficient of variation (CV)0.006545174411
Kurtosis-0.2352397355
Mean0.9258262833
Median Absolute Deviation (MAD)0.004
Skewness-0.4534643666
Sum33618.604
Variance3.671989742 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:12.236810image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.928 11179
30.8%
0.932 7008
19.3%
0.924 6656
18.3%
0.92 4696
12.9%
0.916 3366
 
9.3%
0.936 1986
 
5.5%
0.912 1015
 
2.8%
0.908 216
 
0.6%
0.94 187
 
0.5%
0.944 3
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0.908 216
 
0.6%
0.912 1015
 
2.8%
0.916 3366
9.3%
0.92 4696
12.9%
0.924 6656
18.3%
ValueCountFrequency (%)
0.944 3
 
< 0.1%
0.94 187
 
0.5%
0.936 1986
 
5.5%
0.932 7008
19.3%
0.928 11179
30.8%

CKBVBUJ
Real number (ℝ)

Distinct22
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.07047257
Minimum22
Maximum32.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:12.498560image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24
Q127
median28.5
Q329.5
95-th percentile31
Maximum32.5
Range10.5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.021718849
Coefficient of variation (CV)0.0720229716
Kurtosis-0.2767096085
Mean28.07047257
Median Absolute Deviation (MAD)1.5
Skewness-0.522470646
Sum1019295
Variance4.087347104
MonotonicityNot monotonic
2024-08-10T10:47:12.753806image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
27.5 4088
11.3%
29 4069
11.2%
28 3474
9.6%
28.5 3341
9.2%
29.5 3161
8.7%
27 3097
8.5%
30 2687
 
7.4%
30.5 2285
 
6.3%
31 1720
 
4.7%
24.5 1558
 
4.3%
Other values (12) 6832
18.8%
ValueCountFrequency (%)
22 7
 
< 0.1%
22.5 46
 
0.1%
23 277
 
0.8%
23.5 638
1.8%
24 1049
2.9%
ValueCountFrequency (%)
32.5 6
 
< 0.1%
32 232
 
0.6%
31.5 799
 
2.2%
31 1720
4.7%
30.5 2285
6.3%

USEHIHH
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.32983102
Minimum3.308
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:13.007506image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.316
Q13.324
median3.328
Q33.336
95-th percentile3.344
Maximum3.352
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.00794759061
Coefficient of variation (CV)0.002386784963
Kurtosis-0.3658406638
Mean3.32983102
Median Absolute Deviation (MAD)0.004
Skewness0.100341598
Sum120912.824
Variance6.31641965 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:13.236400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.328 6729
18.5%
3.324 6726
18.5%
3.332 6221
17.1%
3.336 5114
14.1%
3.32 3669
10.1%
3.34 3123
8.6%
3.344 2076
 
5.7%
3.316 1180
 
3.2%
3.312 727
 
2.0%
3.348 612
 
1.7%
Other values (2) 135
 
0.4%
ValueCountFrequency (%)
3.308 78
 
0.2%
3.312 727
 
2.0%
3.316 1180
 
3.2%
3.32 3669
10.1%
3.324 6726
18.5%
ValueCountFrequency (%)
3.352 57
 
0.2%
3.348 612
 
1.7%
3.344 2076
5.7%
3.34 3123
8.6%
3.336 5114
14.1%

ZKXMWHB
Real number (ℝ)

Distinct22
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.4047086363
Minimum0.29
Maximum0.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:13.475173image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile0.37
Q10.39
median0.4
Q30.42
95-th percentile0.44
Maximum0.5
Range0.21
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.02375953206
Coefficient of variation (CV)0.05870774659
Kurtosis1.109928611
Mean0.4047086363
Median Absolute Deviation (MAD)0.01
Skewness-0.134935385
Sum14695.78
Variance0.0005645153637
MonotonicityNot monotonic
2024-08-10T10:47:13.764356image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.4 6662
18.3%
0.41 6055
16.7%
0.39 5542
15.3%
0.42 5062
13.9%
0.38 3480
9.6%
0.43 3086
8.5%
0.44 1860
 
5.1%
0.37 1559
 
4.3%
0.45 920
 
2.5%
0.36 681
 
1.9%
Other values (12) 1405
 
3.9%
ValueCountFrequency (%)
0.29 4
 
< 0.1%
0.3 20
 
0.1%
0.31 45
 
0.1%
0.32 83
0.2%
0.33 142
0.4%
ValueCountFrequency (%)
0.5 13
 
< 0.1%
0.49 34
 
0.1%
0.48 73
 
0.2%
0.47 146
 
0.4%
0.46 383
1.1%

KTDHAGX
Real number (ℝ)

Distinct24
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean80.94497687
Minimum58
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:14.029033image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile74
Q178
median80
Q384
95-th percentile88
Maximum104
Range46
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.77594742
Coefficient of variation (CV)0.05900239403
Kurtosis1.116894227
Mean80.94497687
Median Absolute Deviation (MAD)4
Skewness-0.1423914907
Sum2939274
Variance22.80967376
MonotonicityNot monotonic
2024-08-10T10:47:14.279288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
80 6543
18.0%
82 5985
16.5%
78 5626
15.5%
84 5027
13.8%
76 3483
9.6%
86 3105
8.6%
88 2030
 
5.6%
74 1584
 
4.4%
90 857
 
2.4%
72 658
 
1.8%
Other values (14) 1414
 
3.9%
ValueCountFrequency (%)
58 3
 
< 0.1%
60 11
 
< 0.1%
62 48
 
0.1%
64 110
0.3%
66 150
0.4%
ValueCountFrequency (%)
104 1
 
< 0.1%
102 5
 
< 0.1%
100 16
 
< 0.1%
98 41
0.1%
96 49
0.1%

MHLQVAB
Real number (ℝ)

Distinct201
Distinct (%)0.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.2695728555
Minimum0.193488
Maximum0.346112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:14.570737image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.193488
5-th percentile0.245976
Q10.259584
median0.2672
Q30.279552
95-th percentile0.29392
Maximum0.346112
Range0.152624
Interquartile range (IQR)0.019968

Descriptive statistics

Standard deviation0.01599105217
Coefficient of variation (CV)0.05931996432
Kurtosis1.110068353
Mean0.2695728555
Median Absolute Deviation (MAD)0.011344
Skewness-0.1008900395
Sum9788.729528
Variance0.0002557137495
MonotonicityNot monotonic
2024-08-10T10:47:14.880153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.26624 1321
 
3.6%
0.272568 1287
 
3.5%
0.272896 1201
 
3.3%
0.26656 1197
 
3.3%
0.279216 1173
 
3.2%
0.26592 1098
 
3.0%
0.259584 1059
 
2.9%
0.273224 1053
 
2.9%
0.26688 1033
 
2.8%
0.279552 1024
 
2.8%
Other values (191) 24866
68.5%
ValueCountFrequency (%)
0.193488 2
 
< 0.1%
0.1992 3
 
< 0.1%
0.20016 11
< 0.1%
0.2004 6
< 0.1%
0.20064 1
 
< 0.1%
ValueCountFrequency (%)
0.346112 3
< 0.1%
0.34068 4
< 0.1%
0.340272 3
< 0.1%
0.339456 2
< 0.1%
0.339048 1
 
< 0.1%

RCJONFW
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.326299295
Minimum3.304
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:15.167099image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.32
median3.324
Q33.332
95-th percentile3.34
Maximum3.348
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008012457703
Coefficient of variation (CV)0.002408820432
Kurtosis-0.346718253
Mean3.326299295
Median Absolute Deviation (MAD)0.004
Skewness0.1589971676
Sum120784.58
Variance6.419947845 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:15.393213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.324 6771
18.6%
3.32 6451
17.8%
3.328 6321
17.4%
3.332 5100
14.0%
3.316 3474
9.6%
3.336 3442
9.5%
3.34 1967
 
5.4%
3.312 1120
 
3.1%
3.344 908
 
2.5%
3.308 572
 
1.6%
Other values (2) 186
 
0.5%
ValueCountFrequency (%)
3.304 41
 
0.1%
3.308 572
 
1.6%
3.312 1120
 
3.1%
3.316 3474
9.6%
3.32 6451
17.8%
ValueCountFrequency (%)
3.348 145
 
0.4%
3.344 908
 
2.5%
3.34 1967
 
5.4%
3.336 3442
9.5%
3.332 5100
14.0%

IPRULOU
Real number (ℝ)

Distinct125
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.349288665
Minimum0.85
Maximum2.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:15.655116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.85
5-th percentile1.07
Q11.14
median1.21
Q31.64
95-th percentile1.77
Maximum2.16
Range1.31
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.2649038815
Coefficient of variation (CV)0.1963285458
Kurtosis-1.111307966
Mean1.349288665
Median Absolute Deviation (MAD)0.1
Skewness0.6512662852
Sum48995.37
Variance0.07017406643
MonotonicityNot monotonic
2024-08-10T10:47:15.984092image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.16 1606
 
4.4%
1.17 1536
 
4.2%
1.18 1517
 
4.2%
1.15 1435
 
4.0%
1.19 1425
 
3.9%
1.14 1394
 
3.8%
1.13 1310
 
3.6%
1.2 1245
 
3.4%
1.12 1231
 
3.4%
1.11 1081
 
3.0%
Other values (115) 22532
62.0%
ValueCountFrequency (%)
0.85 1
 
< 0.1%
0.86 4
< 0.1%
0.87 2
< 0.1%
0.88 1
 
< 0.1%
0.89 3
< 0.1%
ValueCountFrequency (%)
2.16 1
 
< 0.1%
2.1 1
 
< 0.1%
2.08 9
< 0.1%
2.07 6
< 0.1%
2.06 9
< 0.1%

YKMYFOT
Real number (ℝ)

Distinct124
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean269.8515642
Minimum170
Maximum430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:16.290951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum170
5-th percentile214
Q1228
median240
Q3328
95-th percentile354
Maximum430
Range260
Interquartile range (IQR)100

Descriptive statistics

Standard deviation53.00501642
Coefficient of variation (CV)0.1964228615
Kurtosis-1.115120339
Mean269.8515642
Median Absolute Deviation (MAD)18
Skewness0.6503835868
Sum9798850
Variance2809.531765
MonotonicityNot monotonic
2024-08-10T10:47:16.588252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
232 1628
 
4.5%
234 1556
 
4.3%
230 1517
 
4.2%
236 1456
 
4.0%
238 1385
 
3.8%
228 1376
 
3.8%
226 1318
 
3.6%
240 1293
 
3.6%
224 1234
 
3.4%
222 1103
 
3.0%
Other values (114) 22446
61.8%
ValueCountFrequency (%)
170 4
< 0.1%
174 1
 
< 0.1%
178 7
< 0.1%
180 4
< 0.1%
182 1
 
< 0.1%
ValueCountFrequency (%)
430 1
 
< 0.1%
420 1
 
< 0.1%
416 3
 
< 0.1%
414 9
< 0.1%
412 5
< 0.1%

FCMPHJR
Real number (ℝ)

Distinct1040
Distinct (%)2.9%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.8974398273
Minimum0.558432
Maximum1.442616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:16.891865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.558432
5-th percentile0.713048
Q10.759696
median0.802472
Q31.087648
95-th percentile1.17528
Maximum1.442616
Range0.884184
Interquartile range (IQR)0.327952

Descriptive statistics

Standard deviation0.1760961412
Coefficient of variation (CV)0.1962205553
Kurtosis-1.111042603
Mean0.8974398273
Median Absolute Deviation (MAD)0.064544
Skewness0.6518872957
Sum32587.83501
Variance0.03100985095
MonotonicityNot monotonic
2024-08-10T10:47:17.185042image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.771168 322
 
0.9%
0.784464 310
 
0.9%
0.777816 290
 
0.8%
0.76452 281
 
0.8%
0.76544 280
 
0.8%
0.785408 270
 
0.7%
0.79776 265
 
0.7%
0.786352 265
 
0.7%
0.757872 265
 
0.7%
0.772096 263
 
0.7%
Other values (1030) 33501
92.3%
ValueCountFrequency (%)
0.558432 1
< 0.1%
0.5644 1
< 0.1%
0.56644 1
< 0.1%
0.56848 1
< 0.1%
0.576288 1
< 0.1%
ValueCountFrequency (%)
1.442616 1
< 0.1%
1.412768 1
< 0.1%
1.39608 1
< 0.1%
1.391104 1
< 0.1%
1.386112 2
< 0.1%

LVBGDZB
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:17.418905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:47:17.617547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

FIJMBVX
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:17.904314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:47:18.280401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

MPCDRWL
Real number (ℝ)

Distinct62
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.700240416
Minimum9.353
Maximum10.022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:18.738048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.353
5-th percentile9.538
Q19.633
median9.704
Q39.753
95-th percentile9.87245
Maximum10.022
Range0.669
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.1006548049
Coefficient of variation (CV)0.01037652683
Kurtosis0.2545930836
Mean9.700240416
Median Absolute Deviation (MAD)0.071
Skewness-0.2286153641
Sum352235.13
Variance0.01013138975
MonotonicityNot monotonic
2024-08-10T10:47:19.232485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.728 4156
 
11.4%
9.704 3867
 
10.6%
9.68 3425
 
9.4%
9.752 2751
 
7.6%
9.656 2557
 
7.0%
9.609 2150
 
5.9%
9.776 2135
 
5.9%
9.633 1620
 
4.5%
9.585 1580
 
4.4%
9.849 1198
 
3.3%
Other values (52) 10873
29.9%
ValueCountFrequency (%)
9.353 4
 
< 0.1%
9.376 63
 
0.2%
9.398 7
 
< 0.1%
9.399 40
 
0.1%
9.422 311
0.9%
ValueCountFrequency (%)
10.022 13
 
< 0.1%
10.021 1
 
< 0.1%
9.997 15
< 0.1%
9.972 33
0.1%
9.971 37
0.1%

RCVCFXR
Real number (ℝ)

Distinct289
Distinct (%)0.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.736773326
Minimum7.282
Maximum8.351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:19.683525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.282
5-th percentile7.49
Q17.627
median7.739
Q37.836
95-th percentile7.986
Maximum8.351
Range1.069
Interquartile range (IQR)0.209

Descriptive statistics

Standard deviation0.1517570052
Coefficient of variation (CV)0.01961502539
Kurtosis-0.2628404811
Mean7.736773326
Median Absolute Deviation (MAD)0.106
Skewness-0.04927894861
Sum280937.713
Variance0.02303018863
MonotonicityNot monotonic
2024-08-10T10:47:20.217527image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.791 1237
 
3.4%
7.712 1136
 
3.1%
7.627 858
 
2.4%
7.68 856
 
2.4%
7.764 830
 
2.3%
7.875 778
 
2.1%
7.707 767
 
2.1%
7.797 765
 
2.1%
7.803 733
 
2.0%
7.686 703
 
1.9%
Other values (279) 27649
76.1%
ValueCountFrequency (%)
7.282 1
 
< 0.1%
7.287 16
< 0.1%
7.292 1
 
< 0.1%
7.307 5
 
< 0.1%
7.312 1
 
< 0.1%
ValueCountFrequency (%)
8.351 2
 
< 0.1%
8.31 1
 
< 0.1%
8.269 10
< 0.1%
8.228 14
< 0.1%
8.188 3
 
< 0.1%

CWLCCPL
Real number (ℝ)

Distinct104
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.31656334
Minimum3.264
Maximum3.372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:20.733250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.264
5-th percentile3.295
Q13.307
median3.316
Q33.326
95-th percentile3.339
Maximum3.372
Range0.108
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.01338528394
Coefficient of variation (CV)0.004035889737
Kurtosis-0.02180003334
Mean3.31656334
Median Absolute Deviation (MAD)0.009
Skewness0.07877680411
Sum120431.048
Variance0.0001791658263
MonotonicityNot monotonic
2024-08-10T10:47:21.308607image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.318 1151
 
3.2%
3.32 1144
 
3.2%
3.316 1066
 
2.9%
3.314 1056
 
2.9%
3.319 1042
 
2.9%
3.312 1040
 
2.9%
3.317 1030
 
2.8%
3.315 1028
 
2.8%
3.322 1007
 
2.8%
3.311 1005
 
2.8%
Other values (94) 25743
70.9%
ValueCountFrequency (%)
3.264 1
 
< 0.1%
3.265 2
< 0.1%
3.267 1
 
< 0.1%
3.269 1
 
< 0.1%
3.27 3
< 0.1%
ValueCountFrequency (%)
3.372 1
 
< 0.1%
3.371 3
< 0.1%
3.37 1
 
< 0.1%
3.367 1
 
< 0.1%
3.365 1
 
< 0.1%

ONKWSSO
Real number (ℝ)

Distinct37
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.148199741
Minimum1.131
Maximum1.208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:21.803808image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.131
5-th percentile1.141
Q11.145
median1.148
Q31.151
95-th percentile1.155
Maximum1.208
Range0.077
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.004496867099
Coefficient of variation (CV)0.003916450194
Kurtosis0.6844928426
Mean1.148199741
Median Absolute Deviation (MAD)0.003
Skewness0.01038942467
Sum41693.429
Variance2.022181371 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:22.338002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1.148 3615
 
10.0%
1.15 3176
 
8.7%
1.146 2925
 
8.1%
1.151 2808
 
7.7%
1.149 2805
 
7.7%
1.147 2604
 
7.2%
1.145 2583
 
7.1%
1.153 2279
 
6.3%
1.152 1981
 
5.5%
1.143 1932
 
5.3%
Other values (27) 9604
26.4%
ValueCountFrequency (%)
1.131 1
 
< 0.1%
1.132 1
 
< 0.1%
1.133 5
 
< 0.1%
1.134 18
< 0.1%
1.135 40
0.1%
ValueCountFrequency (%)
1.208 1
 
< 0.1%
1.166 1
 
< 0.1%
1.165 1
 
< 0.1%
1.164 3
 
< 0.1%
1.163 10
< 0.1%

PPNLAEY
Real number (ℝ)

Distinct95
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.306803206
Minimum3.261
Maximum3.367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:22.809036image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.261
5-th percentile3.286
Q13.298
median3.307
Q33.315
95-th percentile3.328
Maximum3.367
Range0.106
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01285908667
Coefficient of variation (CV)0.003888676122
Kurtosis-0.02072482032
Mean3.306803206
Median Absolute Deviation (MAD)0.009
Skewness0.08778987638
Sum120076.638
Variance0.0001653561099
MonotonicityNot monotonic
2024-08-10T10:47:23.132657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.309 1302
 
3.6%
3.307 1280
 
3.5%
3.303 1170
 
3.2%
3.311 1168
 
3.2%
3.305 1158
 
3.2%
3.313 1154
 
3.2%
3.301 1125
 
3.1%
3.299 1060
 
2.9%
3.304 1022
 
2.8%
3.31 1018
 
2.8%
Other values (85) 24855
68.4%
ValueCountFrequency (%)
3.261 1
 
< 0.1%
3.262 1
 
< 0.1%
3.263 2
 
< 0.1%
3.264 2
 
< 0.1%
3.265 7
< 0.1%
ValueCountFrequency (%)
3.367 1
< 0.1%
3.362 2
< 0.1%
3.356 1
< 0.1%
3.355 2
< 0.1%
3.352 2
< 0.1%

YBAGZDV
Real number (ℝ)

Distinct29
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9562446299
Minimum0.943
Maximum1.004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:23.445427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.943
5-th percentile0.95
Q10.954
median0.956
Q30.959
95-th percentile0.962
Maximum1.004
Range0.061
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.003519867534
Coefficient of variation (CV)0.003680927897
Kurtosis2.478393744
Mean0.9562446299
Median Absolute Deviation (MAD)0.002
Skewness0.09601911668
Sum34723.155
Variance1.238946746 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:23.706062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.957 4005
11.0%
0.956 3971
10.9%
0.958 3860
10.6%
0.955 3853
10.6%
0.959 3167
8.7%
0.954 3037
8.4%
0.953 2581
7.1%
0.96 2473
6.8%
0.952 2011
 
5.5%
0.961 1770
 
4.9%
Other values (19) 5584
15.4%
ValueCountFrequency (%)
0.943 3
 
< 0.1%
0.944 2
 
< 0.1%
0.945 24
 
0.1%
0.946 50
 
0.1%
0.947 151
0.4%
ValueCountFrequency (%)
1.004 2
 
< 0.1%
1.003 1
 
< 0.1%
0.969 2
 
< 0.1%
0.968 3
 
< 0.1%
0.967 19
0.1%

FAPNOHE
Real number (ℝ)

Distinct47
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.79721274
Minimum1.773
Maximum1.824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:23.988919image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.773
5-th percentile1.788
Q11.793
median1.797
Q31.801
95-th percentile1.807
Maximum1.824
Range0.051
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.005663261306
Coefficient of variation (CV)0.003151135745
Kurtosis0.02581926018
Mean1.79721274
Median Absolute Deviation (MAD)0.004
Skewness0.04502645707
Sum65260.389
Variance3.207252862 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:24.276936image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1.796 2695
 
7.4%
1.799 2626
 
7.2%
1.795 2560
 
7.0%
1.798 2411
 
6.6%
1.797 2259
 
6.2%
1.8 2240
 
6.2%
1.794 2200
 
6.1%
1.802 1864
 
5.1%
1.801 1839
 
5.1%
1.793 1804
 
5.0%
Other values (37) 13814
38.0%
ValueCountFrequency (%)
1.773 1
 
< 0.1%
1.776 3
 
< 0.1%
1.777 2
 
< 0.1%
1.778 5
< 0.1%
1.779 10
< 0.1%
ValueCountFrequency (%)
1.824 4
< 0.1%
1.82 2
 
< 0.1%
1.819 1
 
< 0.1%
1.818 5
< 0.1%
1.817 5
< 0.1%

DGVMUBH
Real number (ℝ)

Distinct33
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.154156945
Minimum1.138
Maximum1.171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:24.580769image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.138
5-th percentile1.147
Q11.151
median1.154
Q31.157
95-th percentile1.161
Maximum1.171
Range0.033
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.004267231367
Coefficient of variation (CV)0.003697271315
Kurtosis-0.1426821726
Mean1.154156945
Median Absolute Deviation (MAD)0.003
Skewness-0.08097568232
Sum41909.747
Variance1.820926354 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:24.858330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1.156 3828
10.5%
1.154 3535
 
9.7%
1.153 3153
 
8.7%
1.155 2881
 
7.9%
1.151 2766
 
7.6%
1.152 2585
 
7.1%
1.158 2532
 
7.0%
1.157 2261
 
6.2%
1.159 2012
 
5.5%
1.15 1906
 
5.2%
Other values (23) 8853
24.4%
ValueCountFrequency (%)
1.138 1
 
< 0.1%
1.139 3
 
< 0.1%
1.14 7
 
< 0.1%
1.141 36
0.1%
1.142 49
0.1%
ValueCountFrequency (%)
1.171 1
 
< 0.1%
1.169 7
 
< 0.1%
1.168 3
 
< 0.1%
1.167 21
 
0.1%
1.166 80
0.2%

LWRFJGT
Real number (ℝ)

Distinct49
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9453122384
Minimum0.928
Maximum0.976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:25.144287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.928
5-th percentile0.935
Q10.94
median0.946
Q30.95
95-th percentile0.956
Maximum0.976
Range0.048
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.006761980233
Coefficient of variation (CV)0.007153171152
Kurtosis-0.3586899641
Mean0.9453122384
Median Absolute Deviation (MAD)0.005
Skewness0.24526912
Sum34326.178
Variance4.572437667 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:25.452621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.948 2126
 
5.9%
0.95 2042
 
5.6%
0.947 2015
 
5.5%
0.949 1985
 
5.5%
0.937 1923
 
5.3%
0.939 1881
 
5.2%
0.946 1868
 
5.1%
0.951 1856
 
5.1%
0.94 1827
 
5.0%
0.938 1788
 
4.9%
Other values (39) 17001
46.8%
ValueCountFrequency (%)
0.928 2
 
< 0.1%
0.929 6
 
< 0.1%
0.93 17
 
< 0.1%
0.931 45
 
0.1%
0.932 132
0.4%
ValueCountFrequency (%)
0.976 1
 
< 0.1%
0.975 1
 
< 0.1%
0.974 4
< 0.1%
0.973 2
 
< 0.1%
0.972 7
< 0.1%

PTSQMTJ
Real number (ℝ)

Distinct49
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.652202798
Minimum0.631
Maximum0.682
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:25.733002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.631
5-th percentile0.641
Q10.647
median0.653
Q30.657
95-th percentile0.664
Maximum0.682
Range0.051
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.006946604274
Coefficient of variation (CV)0.01065098815
Kurtosis-0.184080609
Mean0.652202798
Median Absolute Deviation (MAD)0.004
Skewness-0.01377418689
Sum23682.788
Variance4.825531095 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:26.038453image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.655 3365
 
9.3%
0.656 2956
 
8.1%
0.657 2561
 
7.1%
0.654 2397
 
6.6%
0.653 1940
 
5.3%
0.658 1865
 
5.1%
0.647 1415
 
3.9%
0.644 1368
 
3.8%
0.646 1312
 
3.6%
0.652 1291
 
3.6%
Other values (39) 15842
43.6%
ValueCountFrequency (%)
0.631 2
 
< 0.1%
0.632 1
 
< 0.1%
0.633 11
 
< 0.1%
0.634 17
 
< 0.1%
0.635 49
0.1%
ValueCountFrequency (%)
0.682 2
 
< 0.1%
0.678 1
 
< 0.1%
0.677 3
 
< 0.1%
0.676 9
< 0.1%
0.675 10
< 0.1%

QXYDOGR
Real number (ℝ)

Distinct96
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.533127423
Minimum5.156
Maximum6.069
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:26.351759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.156
5-th percentile5.321
Q15.426
median5.531
Q35.615
95-th percentile5.754
Maximum6.069
Range0.913
Interquartile range (IQR)0.189

Descriptive statistics

Standard deviation0.1355145673
Coefficient of variation (CV)0.02449149584
Kurtosis-0.2594036377
Mean5.533127423
Median Absolute Deviation (MAD)0.105
Skewness-0.04767566034
Sum200918.923
Variance0.01836419794
MonotonicityNot monotonic
2024-08-10T10:47:26.653421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.586 2031
 
5.6%
5.502 1927
 
5.3%
5.571 1728
 
4.8%
5.495 1592
 
4.4%
5.426 1400
 
3.9%
5.578 1340
 
3.7%
5.593 1239
 
3.4%
5.662 1227
 
3.4%
5.509 1171
 
3.2%
5.488 1130
 
3.1%
Other values (86) 21527
59.3%
ValueCountFrequency (%)
5.156 11
 
< 0.1%
5.162 82
0.2%
5.169 9
 
< 0.1%
5.176 20
 
0.1%
5.183 80
0.2%
ValueCountFrequency (%)
6.069 4
 
< 0.1%
5.992 26
0.1%
5.96 1
 
< 0.1%
5.923 2
 
< 0.1%
5.915 3
 
< 0.1%

XTPPJMK
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.137365058 × 10-5
Minimum0
Maximum0.001
Zeros35899
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:26.890686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.001
Range0.001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001060405598
Coefficient of variation (CV)9.323353045
Kurtosis82.94560869
Mean1.137365058 × 10-5
Median Absolute Deviation (MAD)0
Skewness9.216346358
Sum0.413
Variance1.124460032 × 10-8
MonotonicityNot monotonic
2024-08-10T10:47:27.115438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 35899
98.9%
0.001 413
 
1.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 35899
98.9%
0.001 413
 
1.1%
ValueCountFrequency (%)
0.001 413
 
1.1%
0 35899
98.9%

QHIQJKY
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean8.261731659 × 10-6
Minimum0
Maximum0.001
Zeros36012
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:27.314270image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.001
Range0.001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.051906482 × 10-5
Coefficient of variation (CV)10.95642761
Kurtosis116.0644767
Mean8.261731659 × 10-6
Median Absolute Deviation (MAD)0
Skewness10.8654537
Sum0.3
Variance8.193701096 × 10-9
MonotonicityNot monotonic
2024-08-10T10:47:27.553529image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 36012
99.2%
0.001 300
 
0.8%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 36012
99.2%
0.001 300
 
0.8%
ValueCountFrequency (%)
0.001 300
 
0.8%
0 36012
99.2%

WTCICYP
Real number (ℝ)

Distinct430
Distinct (%)1.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.913489563
Minimum4.448
Maximum5.237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:27.811378image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.448
5-th percentile4.509
Q14.553
median5.098
Q35.129
95-th percentile5.16
Maximum5.237
Range0.789
Interquartile range (IQR)0.576

Descriptive statistics

Standard deviation0.2791827888
Coefficient of variation (CV)0.05681965642
Kurtosis-1.603676044
Mean4.913489563
Median Absolute Deviation (MAD)0.044
Skewness-0.5928144494
Sum178418.633
Variance0.07794302955
MonotonicityNot monotonic
2024-08-10T10:47:28.122763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.13 469
 
1.3%
5.115 443
 
1.2%
5.121 442
 
1.2%
5.133 437
 
1.2%
5.118 413
 
1.1%
5.106 412
 
1.1%
5.127 393
 
1.1%
5.136 391
 
1.1%
5.113 388
 
1.1%
5.124 381
 
1.0%
Other values (420) 32143
88.5%
ValueCountFrequency (%)
4.448 1
 
< 0.1%
4.449 1
 
< 0.1%
4.45 2
< 0.1%
4.455 2
< 0.1%
4.458 3
< 0.1%
ValueCountFrequency (%)
5.237 1
 
< 0.1%
5.231 1
 
< 0.1%
5.225 3
< 0.1%
5.218 2
< 0.1%
5.217 4
< 0.1%

WBBKQFH
Real number (ℝ)

Distinct54
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.808419641
Minimum1.78
Maximum1.833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:28.455814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.78
5-th percentile1.797
Q11.804
median1.808
Q31.813
95-th percentile1.819
Maximum1.833
Range0.053
Interquartile range (IQR)0.009

Descriptive statistics

Standard deviation0.006659039179
Coefficient of variation (CV)0.003682242234
Kurtosis-0.05389094687
Mean1.808419641
Median Absolute Deviation (MAD)0.005
Skewness-0.06682957226
Sum65667.334
Variance4.434280279 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:28.764438image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.807 2373
 
6.5%
1.81 2351
 
6.5%
1.811 2112
 
5.8%
1.808 2012
 
5.5%
1.806 2002
 
5.5%
1.813 1874
 
5.2%
1.809 1797
 
4.9%
1.814 1725
 
4.8%
1.803 1699
 
4.7%
1.804 1694
 
4.7%
Other values (44) 16673
45.9%
ValueCountFrequency (%)
1.78 1
 
< 0.1%
1.781 1
 
< 0.1%
1.782 3
< 0.1%
1.783 2
< 0.1%
1.784 4
< 0.1%
ValueCountFrequency (%)
1.833 1
 
< 0.1%
1.832 7
 
< 0.1%
1.831 2
 
< 0.1%
1.83 15
< 0.1%
1.829 19
0.1%

FMPLUQF
Real number (ℝ)

Distinct185
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.603281725
Minimum3.507
Maximum3.704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:29.060676image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.507
5-th percentile3.555
Q13.578
median3.6
Q33.627
95-th percentile3.659
Maximum3.704
Range0.197
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.03218759044
Coefficient of variation (CV)0.00893285424
Kurtosis-0.6165192032
Mean3.603281725
Median Absolute Deviation (MAD)0.024
Skewness0.28003069
Sum130842.366
Variance0.001036040978
MonotonicityNot monotonic
2024-08-10T10:47:29.389989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.599 562
 
1.5%
3.591 530
 
1.5%
3.583 504
 
1.4%
3.596 502
 
1.4%
3.594 498
 
1.4%
3.578 494
 
1.4%
3.602 481
 
1.3%
3.61 481
 
1.3%
3.621 479
 
1.3%
3.613 472
 
1.3%
Other values (175) 31309
86.2%
ValueCountFrequency (%)
3.507 1
 
< 0.1%
3.508 1
 
< 0.1%
3.519 3
< 0.1%
3.52 1
 
< 0.1%
3.521 1
 
< 0.1%
ValueCountFrequency (%)
3.704 2
< 0.1%
3.703 1
 
< 0.1%
3.701 1
 
< 0.1%
3.7 3
< 0.1%
3.699 1
 
< 0.1%

EXAIPZR
Real number (ℝ)

Distinct102
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.309256389
Minimum3.26
Maximum3.362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:29.720862image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.26
5-th percentile3.288
Q13.3
median3.309
Q33.318
95-th percentile3.331
Maximum3.362
Range0.102
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.01315143673
Coefficient of variation (CV)0.003974136538
Kurtosis-0.04700199331
Mean3.309256389
Median Absolute Deviation (MAD)0.009
Skewness0.09072235614
Sum120165.718
Variance0.000172960288
MonotonicityNot monotonic
2024-08-10T10:47:30.024168image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.309 1239
 
3.4%
3.307 1191
 
3.3%
3.313 1146
 
3.2%
3.311 1112
 
3.1%
3.305 1101
 
3.0%
3.301 1092
 
3.0%
3.312 1035
 
2.9%
3.304 1022
 
2.8%
3.31 1018
 
2.8%
3.303 1012
 
2.8%
Other values (92) 25344
69.8%
ValueCountFrequency (%)
3.26 2
< 0.1%
3.261 1
< 0.1%
3.263 1
< 0.1%
3.264 1
< 0.1%
3.265 1
< 0.1%
ValueCountFrequency (%)
3.362 1
< 0.1%
3.361 2
< 0.1%
3.36 1
< 0.1%
3.359 2
< 0.1%
3.358 2
< 0.1%

QEKEIFO
Real number (ℝ)

Distinct101
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.309112883
Minimum3.256
Maximum3.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:30.331848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.256
5-th percentile3.288
Q13.3
median3.309
Q33.318
95-th percentile3.331
Maximum3.38
Range0.124
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.01313278983
Coefficient of variation (CV)0.003968673869
Kurtosis-0.001156354108
Mean3.309112883
Median Absolute Deviation (MAD)0.009
Skewness0.09374957447
Sum120160.507
Variance0.0001724701686
MonotonicityNot monotonic
2024-08-10T10:47:30.662124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.307 1294
 
3.6%
3.309 1191
 
3.3%
3.311 1102
 
3.0%
3.303 1092
 
3.0%
3.312 1075
 
3.0%
3.305 1069
 
2.9%
3.313 1049
 
2.9%
3.301 1048
 
2.9%
3.315 1013
 
2.8%
3.304 1003
 
2.8%
Other values (91) 25376
69.9%
ValueCountFrequency (%)
3.256 2
 
< 0.1%
3.261 1
 
< 0.1%
3.262 2
 
< 0.1%
3.264 1
 
< 0.1%
3.266 11
< 0.1%
ValueCountFrequency (%)
3.38 2
< 0.1%
3.363 1
< 0.1%
3.36 1
< 0.1%
3.359 2
< 0.1%
3.358 2
< 0.1%

WLFAYHX
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean679.5637255
Minimum19
Maximum3027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:30.911193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median1003
Q31003
95-th percentile1003
Maximum3027
Range3008
Interquartile range (IQR)984

Descriptive statistics

Standard deviation525.1920207
Coefficient of variation (CV)0.7728370439
Kurtosis2.045336885
Mean679.5637255
Median Absolute Deviation (MAD)0
Skewness0.3662686517
Sum24676318
Variance275826.6587
MonotonicityNot monotonic
2024-08-10T10:47:31.112429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1003 23241
64.0%
19 12558
34.6%
3027 371
 
1.0%
28 142
 
0.4%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
19 12558
34.6%
28 142
 
0.4%
1003 23241
64.0%
3027 371
 
1.0%
ValueCountFrequency (%)
3027 371
 
1.0%
1003 23241
64.0%
28 142
 
0.4%
19 12558
34.6%

DZZXXVG
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean153.4390835
Minimum140
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:31.324606image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile150
Q1150
median150
Q3160
95-th percentile160
Maximum160
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.790586516
Coefficient of variation (CV)0.0312214229
Kurtosis-1.49066444
Mean153.4390835
Median Absolute Deviation (MAD)0
Skewness0.6045636085
Sum5571680
Variance22.94971917
MonotonicityNot monotonic
2024-08-10T10:47:31.554590image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
150 23684
65.2%
160 12558
34.6%
140 70
 
0.2%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
140 70
 
0.2%
150 23684
65.2%
160 12558
34.6%
ValueCountFrequency (%)
160 12558
34.6%
150 23684
65.2%
140 70
 
0.2%

GGNNDQY
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean47
Minimum47
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:31.808208image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile47
Q147
median47
Q347
95-th percentile47
Maximum47
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean47
Median Absolute Deviation (MAD)0
Skewness0
Sum1706664
Variance0
MonotonicityIncreasing
2024-08-10T10:47:32.031981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
47 36312
> 99.9%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
47 36312
> 99.9%
ValueCountFrequency (%)
47 36312
> 99.9%

IJTGMGJ
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros36311
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:32.256075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-08-10T10:47:32.446367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 36311
> 99.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 36311
> 99.9%
ValueCountFrequency (%)
0 36311
> 99.9%

CPZMPBY
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros36311
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:32.645142image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-08-10T10:47:32.901944image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 36311
> 99.9%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 36311
> 99.9%
ValueCountFrequency (%)
0 36311
> 99.9%

LZJFGGT
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.980433305
Minimum4.91744
Maximum5.02392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:33.257305image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.91744
5-th percentile4.95616
Q14.96584
median4.97552
Q34.99488
95-th percentile5.01424
Maximum5.02392
Range0.10648
Interquartile range (IQR)0.02904

Descriptive statistics

Standard deviation0.01797180398
Coefficient of variation (CV)0.00360848201
Kurtosis0.1218636392
Mean4.980433305
Median Absolute Deviation (MAD)0.00968
Skewness0.09513591595
Sum180859.455
Variance0.0003229857385
MonotonicityNot monotonic
2024-08-10T10:47:33.666408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4.9852 8327
22.9%
4.97552 7691
21.2%
4.96584 6161
17.0%
4.99488 4276
11.8%
4.95616 3036
 
8.4%
5.00456 2973
 
8.2%
5.01424 1485
 
4.1%
4.94648 1153
 
3.2%
5.02392 840
 
2.3%
4.92712 318
 
0.9%
Other values (2) 54
 
0.1%
ValueCountFrequency (%)
4.91744 4
 
< 0.1%
4.92712 318
 
0.9%
4.9368 50
 
0.1%
4.94648 1153
 
3.2%
4.95616 3036
8.4%
ValueCountFrequency (%)
5.02392 840
 
2.3%
5.01424 1485
 
4.1%
5.00456 2973
 
8.2%
4.99488 4276
11.8%
4.9852 8327
22.9%

VRFKBMQ
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.064535002
Minimum5.00456
Maximum5.1304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:34.050328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.00456
5-th percentile5.02392
Q15.04328
median5.06264
Q35.082
95-th percentile5.10136
Maximum5.1304
Range0.12584
Interquartile range (IQR)0.03872

Descriptive statistics

Standard deviation0.02191304193
Coefficient of variation (CV)0.004326762857
Kurtosis-0.6491631779
Mean5.064535002
Median Absolute Deviation (MAD)0.01936
Skewness0.04354041954
Sum183913.5241
Variance0.0004801814068
MonotonicityNot monotonic
2024-08-10T10:47:34.467108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5.07232 6933
19.1%
5.05296 4788
13.2%
5.06264 4760
13.1%
5.04328 4663
12.8%
5.082 4387
12.1%
5.09168 3200
8.8%
5.0336 2839
7.8%
5.10136 2110
 
5.8%
5.02392 1903
 
5.2%
5.11104 480
 
1.3%
Other values (4) 251
 
0.7%
ValueCountFrequency (%)
5.00456 13
 
< 0.1%
5.01424 14
 
< 0.1%
5.02392 1903
5.2%
5.0336 2839
7.8%
5.04328 4663
12.8%
ValueCountFrequency (%)
5.1304 9
 
< 0.1%
5.12072 215
 
0.6%
5.11104 480
 
1.3%
5.10136 2110
5.8%
5.09168 3200
8.8%

ZDWTEVD
Real number (ℝ)

Distinct39
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.10135826
Minimum11.506
Maximum12.342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:34.909724image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum11.506
5-th percentile11.968
Q112.034
median12.1
Q312.166
95-th percentile12.276
Maximum12.342
Range0.836
Interquartile range (IQR)0.132

Descriptive statistics

Standard deviation0.0985557499
Coefficient of variation (CV)0.008144189086
Kurtosis-0.2141840916
Mean12.10135826
Median Absolute Deviation (MAD)0.066
Skewness0.08423699982
Sum439448.724
Variance0.009713235838
MonotonicityNot monotonic
2024-08-10T10:47:35.369020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
12.056 3782
 
10.4%
11.99 2952
 
8.1%
12.166 2939
 
8.1%
12.078 2925
 
8.1%
12.1 2613
 
7.2%
12.012 2494
 
6.9%
12.034 2396
 
6.6%
12.144 2387
 
6.6%
12.21 2198
 
6.1%
12.188 2050
 
5.6%
Other values (29) 9578
26.4%
ValueCountFrequency (%)
11.506 1
 
< 0.1%
11.528 1
 
< 0.1%
11.55 3
< 0.1%
11.572 3
< 0.1%
11.594 1
 
< 0.1%
ValueCountFrequency (%)
12.342 2
 
< 0.1%
12.32 449
1.2%
12.298 1009
2.8%
12.276 851
2.3%
12.254 719
2.0%

RMDQISV
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.900393241
Minimum4.84968
Maximum4.9368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:35.683204image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.84968
5-th percentile4.86904
Q14.8884
median4.89808
Q34.90776
95-th percentile4.92712
Maximum4.9368
Range0.08712
Interquartile range (IQR)0.01936

Descriptive statistics

Standard deviation0.01734712365
Coefficient of variation (CV)0.003539945225
Kurtosis-0.05768734577
Mean4.900393241
Median Absolute Deviation (MAD)0.00968
Skewness-0.3459586868
Sum177952.8802
Variance0.000300922699
MonotonicityNot monotonic
2024-08-10T10:47:36.112630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4.89808 8795
24.2%
4.90776 8670
23.9%
4.91744 5640
15.5%
4.87872 3967
10.9%
4.8884 3498
 
9.6%
4.86904 1856
 
5.1%
4.92712 1828
 
5.0%
4.9368 1088
 
3.0%
4.85936 752
 
2.1%
4.84968 220
 
0.6%
ValueCountFrequency (%)
4.84968 220
 
0.6%
4.85936 752
 
2.1%
4.86904 1856
5.1%
4.87872 3967
10.9%
4.8884 3498
9.6%
ValueCountFrequency (%)
4.9368 1088
 
3.0%
4.92712 1828
 
5.0%
4.91744 5640
15.5%
4.90776 8670
23.9%
4.89808 8795
24.2%

XGBPWXI
Real number (ℝ)

Distinct22
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.000953351
Minimum1.924
Maximum3.064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:36.450620image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.924
5-th percentile1.932
Q11.94
median1.944
Q31.948
95-th percentile3.028
Maximum3.064
Range1.14
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.2452083101
Coefficient of variation (CV)0.1225457405
Kurtosis14.13365648
Mean2.000953351
Median Absolute Deviation (MAD)0.004
Skewness4.014872172
Sum72662.62
Variance0.06012711533
MonotonicityNot monotonic
2024-08-10T10:47:36.852286image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1.944 8758
24.1%
1.94 7863
21.7%
1.948 6096
16.8%
1.936 4255
11.7%
1.952 3482
 
9.6%
1.932 1985
 
5.5%
1.956 1349
 
3.7%
3.044 407
 
1.1%
3.048 359
 
1.0%
1.928 357
 
1.0%
Other values (12) 1403
 
3.9%
ValueCountFrequency (%)
1.924 25
 
0.1%
1.928 357
 
1.0%
1.932 1985
 
5.5%
1.936 4255
11.7%
1.94 7863
21.7%
ValueCountFrequency (%)
3.064 20
 
0.1%
3.06 77
 
0.2%
3.056 155
0.4%
3.052 115
 
0.3%
3.048 359
1.0%

UEIYMWS
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.495124084
Minimum2.48
Maximum2.508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:37.238563image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.48
5-th percentile2.488
Q12.492
median2.496
Q32.5
95-th percentile2.504
Maximum2.508
Range0.028
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.004709461049
Coefficient of variation (CV)0.001887465669
Kurtosis0.05580797174
Mean2.495124084
Median Absolute Deviation (MAD)0.004
Skewness0.06566375423
Sum90607.936
Variance2.217902337 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:37.655308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2.496 12277
33.8%
2.492 10040
27.6%
2.5 6994
19.3%
2.488 3777
 
10.4%
2.504 1884
 
5.2%
2.484 804
 
2.2%
2.508 492
 
1.4%
2.48 46
 
0.1%
ValueCountFrequency (%)
2.48 46
 
0.1%
2.484 804
 
2.2%
2.488 3777
 
10.4%
2.492 10040
27.6%
2.496 12277
33.8%
ValueCountFrequency (%)
2.508 492
 
1.4%
2.504 1884
 
5.2%
2.5 6994
19.3%
2.496 12277
33.8%
2.492 10040
27.6%

JYSKSPX
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9258419342
Minimum0.908
Maximum0.948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:37.936840image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.908
5-th percentile0.916
Q10.92
median0.928
Q30.932
95-th percentile0.936
Maximum0.948
Range0.04
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.006054664063
Coefficient of variation (CV)0.006539630405
Kurtosis-0.223159149
Mean0.9258419342
Median Absolute Deviation (MAD)0.004
Skewness-0.4543979765
Sum33621.024
Variance3.665895692 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:38.176845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.928 11135
30.7%
0.932 7028
19.4%
0.924 6754
18.6%
0.92 4641
12.8%
0.916 3334
 
9.2%
0.936 1993
 
5.5%
0.912 1022
 
2.8%
0.908 213
 
0.6%
0.94 192
 
0.5%
0.944 1
 
< 0.1%
ValueCountFrequency (%)
0.908 213
 
0.6%
0.912 1022
 
2.8%
0.916 3334
9.2%
0.92 4641
12.8%
0.924 6754
18.6%
ValueCountFrequency (%)
0.948 1
 
< 0.1%
0.944 1
 
< 0.1%
0.94 192
 
0.5%
0.936 1993
 
5.5%
0.932 7028
19.4%

WSCCCVK
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.330544694
Minimum3.308
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:38.434479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.32
Q13.324
median3.332
Q33.336
95-th percentile3.344
Maximum3.352
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007928108186
Coefficient of variation (CV)0.002380423899
Kurtosis-0.3605342671
Mean3.330544694
Median Absolute Deviation (MAD)0.004
Skewness0.1019920441
Sum120945.4
Variance6.285489941 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:38.652880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.328 6910
19.0%
3.324 6336
17.4%
3.332 6200
17.1%
3.336 5741
15.8%
3.32 3087
8.5%
3.34 3068
8.4%
3.344 2433
 
6.7%
3.316 1014
 
2.8%
3.348 806
 
2.2%
3.312 589
 
1.6%
Other values (2) 130
 
0.4%
ValueCountFrequency (%)
3.308 38
 
0.1%
3.312 589
 
1.6%
3.316 1014
 
2.8%
3.32 3087
8.5%
3.324 6336
17.4%
ValueCountFrequency (%)
3.352 92
 
0.3%
3.348 806
 
2.2%
3.344 2433
6.7%
3.34 3068
8.4%
3.336 5741
15.8%

BGEQHWR
Real number (ℝ)

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.97474803
Minimum22.5
Maximum32.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:38.890627image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22.5
5-th percentile24.5
Q127
median28
Q329.5
95-th percentile31
Maximum32.5
Range10
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.901926084
Coefficient of variation (CV)0.06798724629
Kurtosis-0.3944297515
Mean27.97474803
Median Absolute Deviation (MAD)1.5
Skewness-0.3933923017
Sum1015875
Variance3.617322831
MonotonicityNot monotonic
2024-08-10T10:47:39.151116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
27.5 4368
12.0%
28 4045
11.1%
28.5 3539
9.7%
27 3164
8.7%
29 2995
8.2%
29.5 2960
8.2%
30 2863
7.9%
30.5 2335
 
6.4%
26.5 1803
 
5.0%
25 1615
 
4.4%
Other values (11) 6627
18.2%
ValueCountFrequency (%)
22.5 16
 
< 0.1%
23 125
 
0.3%
23.5 452
 
1.2%
24 837
2.3%
24.5 1285
3.5%
ValueCountFrequency (%)
32.5 6
 
< 0.1%
32 102
 
0.3%
31.5 434
 
1.2%
31 1424
3.9%
30.5 2335
6.4%

QTALKVV
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.311094311
Minimum3.26688
Maximum3.34656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:39.386263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.26688
5-th percentile3.2868
Q13.30008
median3.31336
Q33.32
95-th percentile3.33328
Maximum3.34656
Range0.07968
Interquartile range (IQR)0.01992

Descriptive statistics

Standard deviation0.01430947511
Coefficient of variation (CV)0.004321675486
Kurtosis-0.2439454923
Mean3.311094311
Median Absolute Deviation (MAD)0.01328
Skewness-0.1067261726
Sum120239.0788
Variance0.000204761078
MonotonicityNot monotonic
2024-08-10T10:47:39.615551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.30672 6868
18.9%
3.31336 5992
16.5%
3.32 5277
14.5%
3.32664 4659
12.8%
3.30008 4465
12.3%
3.29344 3542
9.8%
3.33328 2372
 
6.5%
3.28016 1398
 
3.8%
3.2868 818
 
2.3%
3.34656 543
 
1.5%
Other values (3) 380
 
1.0%
ValueCountFrequency (%)
3.26688 1
 
< 0.1%
3.27352 164
 
0.5%
3.28016 1398
 
3.8%
3.2868 818
 
2.3%
3.29344 3542
9.8%
ValueCountFrequency (%)
3.34656 543
 
1.5%
3.33992 215
 
0.6%
3.33328 2372
6.5%
3.32664 4659
12.8%
3.32 5277
14.5%

XJUIXIR
Real number (ℝ)

Distinct1497
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544.1765159
Minimum0
Maximum1500
Zeros27
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:39.928518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q1258
median528
Q3800
95-th percentile1131
Maximum1500
Range1500
Interquartile range (IQR)542

Descriptive statistics

Standard deviation341.1782125
Coefficient of variation (CV)0.6269623964
Kurtosis-0.5345892658
Mean544.1765159
Median Absolute Deviation (MAD)271
Skewness0.3681925223
Sum19761226
Variance116402.5727
MonotonicityNot monotonic
2024-08-10T10:47:40.240732image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102 60
 
0.2%
77 56
 
0.2%
372 54
 
0.1%
628 53
 
0.1%
14 53
 
0.1%
137 52
 
0.1%
15 51
 
0.1%
134 50
 
0.1%
858 50
 
0.1%
44 50
 
0.1%
Other values (1487) 35785
98.5%
ValueCountFrequency (%)
0 27
0.1%
1 25
0.1%
2 29
0.1%
3 36
0.1%
4 40
0.1%
ValueCountFrequency (%)
1500 4
< 0.1%
1499 2
< 0.1%
1498 3
< 0.1%
1497 4
< 0.1%
1496 2
< 0.1%

XIVOAXI
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean14.56814093
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:40.513337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q115
median15
Q315
95-th percentile15
Maximum80
Range79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.909586146
Coefficient of variation (CV)0.1310796041
Kurtosis56.70427041
Mean14.56814093
Median Absolute Deviation (MAD)0
Skewness-0.9404693886
Sum429192
Variance3.646519249
MonotonicityNot monotonic
2024-08-10T10:47:40.748523image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
15 27296
75.2%
8 1816
 
5.0%
24 126
 
0.3%
10 60
 
0.2%
14 35
 
0.1%
6 28
 
0.1%
7 21
 
0.1%
12 17
 
< 0.1%
9 16
 
< 0.1%
13 13
 
< 0.1%
Other values (8) 33
 
0.1%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 3
 
< 0.1%
3 6
< 0.1%
4 9
< 0.1%
5 6
< 0.1%
ValueCountFrequency (%)
80 1
 
< 0.1%
26 2
 
< 0.1%
24 126
 
0.3%
15 27296
75.2%
14 35
 
0.1%

CKTRRMV
Real number (ℝ)

MISSING 

Distinct4306
Distinct (%)14.6%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean1535.969247
Minimum0
Maximum5587
Zeros12
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:41.040334image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile122
Q1656
median1396
Q32273
95-th percentile3468
Maximum5587
Range5587
Interquartile range (IQR)1617

Descriptive statistics

Standard deviation1068.970066
Coefficient of variation (CV)0.6959579873
Kurtosis0.2668049068
Mean1535.969247
Median Absolute Deviation (MAD)797
Skewness0.7296722896
Sum45251190
Variance1142697.002
MonotonicityNot monotonic
2024-08-10T10:47:41.324623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 59
 
0.2%
259 22
 
0.1%
1047 22
 
0.1%
223 21
 
0.1%
1936 21
 
0.1%
727 21
 
0.1%
241 20
 
0.1%
258 20
 
0.1%
1866 20
 
0.1%
880 20
 
0.1%
Other values (4296) 29215
80.5%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
0 12
< 0.1%
1 12
< 0.1%
2 10
< 0.1%
3 17
< 0.1%
4 10
< 0.1%
ValueCountFrequency (%)
5587 1
< 0.1%
5583 1
< 0.1%
5576 1
< 0.1%
5561 1
< 0.1%
5521 1
< 0.1%

MXNLYUW
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean6.778147381
Minimum0
Maximum15
Zeros2042
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:41.581649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q311
95-th percentile14
Maximum15
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.318607694
Coefficient of variation (CV)0.6371368828
Kurtosis-1.197671132
Mean6.778147381
Median Absolute Deviation (MAD)4
Skewness0.08334621549
Sum199691
Variance18.65037241
MonotonicityNot monotonic
2024-08-10T10:47:41.810918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 2148
 
5.9%
1 2100
 
5.8%
5 2076
 
5.7%
3 2064
 
5.7%
4 2058
 
5.7%
6 2046
 
5.6%
0 2042
 
5.6%
7 2031
 
5.6%
10 1881
 
5.2%
8 1867
 
5.1%
Other values (6) 9148
25.2%
(Missing) 6853
18.9%
ValueCountFrequency (%)
0 2042
5.6%
1 2100
5.8%
2 2148
5.9%
3 2064
5.7%
4 2058
5.7%
ValueCountFrequency (%)
15 53
 
0.1%
14 1815
5.0%
13 1837
5.1%
12 1845
5.1%
11 1822
5.0%

NFRPIGQ
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean3065.614813
Minimum50
Maximum5600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:42.076053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile1200
Q13000
median3000
Q33000
95-th percentile5000
Maximum5600
Range5550
Interquartile range (IQR)0

Descriptive statistics

Standard deviation915.6170576
Coefficient of variation (CV)0.2986732233
Kurtosis1.310462984
Mean3065.614813
Median Absolute Deviation (MAD)0
Skewness0.07451526481
Sum90316078
Variance838354.5962
MonotonicityNot monotonic
2024-08-10T10:47:42.317881image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3000 16297
44.9%
2000 2846
 
7.8%
4000 2779
 
7.7%
5000 1885
 
5.2%
3932 1489
 
4.1%
1000 970
 
2.7%
2922 580
 
1.6%
2600 572
 
1.6%
2500 511
 
1.4%
5600 381
 
1.0%
Other values (9) 1151
 
3.2%
(Missing) 6853
18.9%
ValueCountFrequency (%)
50 16
 
< 0.1%
70 88
 
0.2%
80 3
 
< 0.1%
100 49
 
0.1%
915 296
0.8%
ValueCountFrequency (%)
5600 381
 
1.0%
5000 1885
 
5.2%
4000 2779
 
7.7%
3932 1489
 
4.1%
3000 16297
44.9%

LNGBURD
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:42.543052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:47:42.732845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

WLULXFN
Real number (ℝ)

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2120.193589
Minimum2098
Maximum2127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:42.970590image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2098
5-th percentile2113
Q12118
median2121
Q32124
95-th percentile2125
Maximum2127
Range29
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.987295205
Coefficient of variation (CV)0.001880627894
Kurtosis-0.1179115368
Mean2120.193589
Median Absolute Deviation (MAD)3
Skewness-0.7118290961
Sum76992710
Variance15.89852305
MonotonicityNot monotonic
2024-08-10T10:47:43.232844image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2124 6959
19.2%
2113 4670
12.9%
2122 3787
10.4%
2118 3631
10.0%
2123 3586
9.9%
2121 3014
8.3%
2120 2498
 
6.9%
2119 2365
 
6.5%
2116 2321
 
6.4%
2126 1591
 
4.4%
Other values (14) 1892
 
5.2%
ValueCountFrequency (%)
2098 1
 
< 0.1%
2099 4
 
< 0.1%
2101 5
 
< 0.1%
2103 3
 
< 0.1%
2104 51
0.1%
ValueCountFrequency (%)
2127 117
 
0.3%
2126 1591
 
4.4%
2125 892
 
2.5%
2124 6959
19.2%
2123 3586
9.9%

AQYGYOE
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.080795286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:43.458541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2968986015
Coefficient of variation (CV)0.2747038273
Kurtosis21.66390129
Mean1.080795286
Median Absolute Deviation (MAD)0
Skewness4.144970483
Sum39248
Variance0.08814877956
MonotonicityNot monotonic
2024-08-10T10:47:43.676653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 33591
92.5%
2 2546
 
7.0%
3 150
 
0.4%
4 20
 
0.1%
5 7
 
< 0.1%
ValueCountFrequency (%)
1 33591
92.5%
2 2546
 
7.0%
3 150
 
0.4%
4 20
 
0.1%
5 7
 
< 0.1%
ValueCountFrequency (%)
5 7
 
< 0.1%
4 20
 
0.1%
3 150
 
0.4%
2 2546
 
7.0%
1 33591
92.5%

BQEDTSY
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:43.906464image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:47:44.099267image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

PDWQQDP
Real number (ℝ)

Distinct6187
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.58371353
Minimum34.212
Maximum42.415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:44.424474image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum34.212
5-th percentile36.04465
Q137.461
median38.727
Q339.702
95-th percentile40.813
Maximum42.415
Range8.203
Interquartile range (IQR)2.241

Descriptive statistics

Standard deviation1.462031327
Coefficient of variation (CV)0.03789244717
Kurtosis-0.7288319069
Mean38.58371353
Median Absolute Deviation (MAD)1.106
Skewness-0.1935101878
Sum1401128.973
Variance2.1375356
MonotonicityNot monotonic
2024-08-10T10:47:44.708408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.322 24
 
0.1%
39.448 22
 
0.1%
38.808 22
 
0.1%
39.116 22
 
0.1%
39.289 21
 
0.1%
39.515 21
 
0.1%
40.013 21
 
0.1%
39.267 20
 
0.1%
39.259 20
 
0.1%
39.46 20
 
0.1%
Other values (6177) 36101
99.4%
ValueCountFrequency (%)
34.212 1
< 0.1%
34.31 1
< 0.1%
34.459 1
< 0.1%
34.563 1
< 0.1%
34.566 2
< 0.1%
ValueCountFrequency (%)
42.415 1
< 0.1%
42.398 2
< 0.1%
42.306 2
< 0.1%
42.257 1
< 0.1%
42.238 2
< 0.1%

HXBFDMA
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.324262488
Minimum3.304
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:44.976647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.312
Q13.32
median3.324
Q33.328
95-th percentile3.336
Maximum3.348
Range0.044
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007807183215
Coefficient of variation (CV)0.002348545953
Kurtosis-0.1311679629
Mean3.324262488
Median Absolute Deviation (MAD)0.004
Skewness-0.07914733059
Sum120717.268
Variance6.095210976 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:45.218959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.328 7617
21.0%
3.324 6996
19.3%
3.32 5531
15.2%
3.316 5238
14.4%
3.332 4300
11.8%
3.336 2324
 
6.4%
3.312 1439
 
4.0%
3.34 1033
 
2.8%
3.308 1014
 
2.8%
3.304 467
 
1.3%
Other values (2) 355
 
1.0%
ValueCountFrequency (%)
3.304 467
 
1.3%
3.308 1014
 
2.8%
3.312 1439
 
4.0%
3.316 5238
14.4%
3.32 5531
15.2%
ValueCountFrequency (%)
3.348 2
 
< 0.1%
3.344 353
 
1.0%
3.34 1033
 
2.8%
3.336 2324
6.4%
3.332 4300
11.8%

XJMDTQG
Real number (ℝ)

Distinct66
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.560981715
Minimum1.35
Maximum2.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:45.484870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.35
5-th percentile1.47
Q11.5
median1.54
Q31.6
95-th percentile1.7
Maximum2.01
Range0.66
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.08787430248
Coefficient of variation (CV)0.05629425485
Kurtosis5.909951808
Mean1.560981715
Median Absolute Deviation (MAD)0.04
Skewness2.015907012
Sum56685.49
Variance0.007721893037
MonotonicityNot monotonic
2024-08-10T10:47:45.774787image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.51 3013
 
8.3%
1.5 2832
 
7.8%
1.49 2527
 
7.0%
1.52 2495
 
6.9%
1.53 2369
 
6.5%
1.54 1982
 
5.5%
1.55 1795
 
4.9%
1.48 1750
 
4.8%
1.56 1609
 
4.4%
1.57 1392
 
3.8%
Other values (56) 14550
40.1%
ValueCountFrequency (%)
1.35 2
 
< 0.1%
1.36 3
 
< 0.1%
1.37 15
< 0.1%
1.38 29
0.1%
1.39 35
0.1%
ValueCountFrequency (%)
2.01 5
 
< 0.1%
2 9
 
< 0.1%
1.99 15
 
< 0.1%
1.98 26
0.1%
1.97 63
0.2%

KPZEEJR
Real number (ℝ)

Distinct62
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.2440381
Minimum270
Maximum402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:46.077973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum270
5-th percentile294
Q1300
median308
Q3320
95-th percentile340
Maximum402
Range132
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.55857994
Coefficient of variation (CV)0.05623351546
Kurtosis5.93786497
Mean312.2440381
Median Absolute Deviation (MAD)8
Skewness2.022062339
Sum11338830
Variance308.3037296
MonotonicityNot monotonic
2024-08-10T10:47:48.505258image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
302 2976
 
8.2%
300 2794
 
7.7%
304 2568
 
7.1%
298 2448
 
6.7%
306 2354
 
6.5%
308 2028
 
5.6%
310 1814
 
5.0%
296 1705
 
4.7%
312 1616
 
4.5%
314 1423
 
3.9%
Other values (52) 14588
40.2%
ValueCountFrequency (%)
270 1
 
< 0.1%
272 6
 
< 0.1%
274 10
 
< 0.1%
276 21
0.1%
278 32
0.1%
ValueCountFrequency (%)
402 4
 
< 0.1%
400 3
 
< 0.1%
398 14
 
< 0.1%
396 42
0.1%
394 53
0.1%

OOVNYOI
Real number (ℝ)

Distinct476
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.038023894
Minimum0.804408
Maximum1.339664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:48.931487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.804408
5-th percentile0.978432
Q10.9996
median1.023792
Q31.06368
95-th percentile1.13016
Maximum1.339664
Range0.535256
Interquartile range (IQR)0.06408

Descriptive statistics

Standard deviation0.0581992675
Coefficient of variation (CV)0.05606736783
Kurtosis5.998129107
Mean1.038023894
Median Absolute Deviation (MAD)0.028992
Skewness2.036229774
Sum37694.7997
Variance0.003387154738
MonotonicityNot monotonic
2024-08-10T10:47:49.452937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.005056 595
 
1.6%
0.9972 589
 
1.6%
1.003848 587
 
1.6%
0.990552 584
 
1.6%
0.9984 574
 
1.6%
1.00264 508
 
1.4%
0.991744 500
 
1.4%
0.996 497
 
1.4%
1.001432 475
 
1.3%
1.011712 459
 
1.3%
Other values (466) 30946
85.2%
ValueCountFrequency (%)
0.804408 1
 
< 0.1%
0.90288 3
 
< 0.1%
0.909568 1
 
< 0.1%
0.916256 13
< 0.1%
0.92184 9
< 0.1%
ValueCountFrequency (%)
1.339664 1
 
< 0.1%
1.3312 5
< 0.1%
1.3264 7
< 0.1%
1.326136 3
< 0.1%
1.324544 2
 
< 0.1%

ILGYBTA
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41
Minimum41
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:49.839697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile41
Q141
median41
Q341
95-th percentile41
Maximum41
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean41
Median Absolute Deviation (MAD)0
Skewness0
Sum1488874
Variance0
MonotonicityIncreasing
2024-08-10T10:47:50.227932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
41 36314
100.0%
ValueCountFrequency (%)
41 36314
100.0%
ValueCountFrequency (%)
41 36314
100.0%

VYQUVQJ
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.329273118
Minimum3.304
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:50.625867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.324
median3.328
Q33.336
95-th percentile3.344
Maximum3.352
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007824847846
Coefficient of variation (CV)0.002350317192
Kurtosis-0.1813772885
Mean3.329273118
Median Absolute Deviation (MAD)0.004
Skewness-0.08674933468
Sum120899.224
Variance6.122824381 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:51.055244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.332 7554
20.8%
3.328 6288
17.3%
3.324 5734
15.8%
3.336 5497
15.1%
3.32 4545
12.5%
3.34 2592
 
7.1%
3.344 1440
 
4.0%
3.316 963
 
2.7%
3.312 949
 
2.6%
3.348 459
 
1.3%
Other values (3) 293
 
0.8%
ValueCountFrequency (%)
3.304 1
 
< 0.1%
3.308 278
 
0.8%
3.312 949
 
2.6%
3.316 963
 
2.7%
3.32 4545
12.5%
ValueCountFrequency (%)
3.352 14
 
< 0.1%
3.348 459
 
1.3%
3.344 1440
 
4.0%
3.34 2592
7.1%
3.336 5497
15.1%

ZZYQSDQ
Real number (ℝ)

Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1921154376
Minimum0.07
Maximum0.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:51.529671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.16
Q10.18
median0.19
Q30.21
95-th percentile0.22
Maximum0.32
Range0.25
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.02322300624
Coefficient of variation (CV)0.1208804796
Kurtosis3.635995764
Mean0.1921154376
Median Absolute Deviation (MAD)0.01
Skewness-0.4064923962
Sum6976.48
Variance0.0005393080188
MonotonicityNot monotonic
2024-08-10T10:47:51.999919image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.19 8005
22.0%
0.2 7219
19.9%
0.18 5990
16.5%
0.21 4872
13.4%
0.17 3319
9.1%
0.22 2452
 
6.8%
0.16 1156
 
3.2%
0.23 1005
 
2.8%
0.15 347
 
1.0%
0.24 345
 
1.0%
Other values (16) 1604
 
4.4%
ValueCountFrequency (%)
0.07 2
 
< 0.1%
0.08 6
 
< 0.1%
0.09 42
 
0.1%
0.1 121
0.3%
0.11 227
0.6%
ValueCountFrequency (%)
0.32 2
 
< 0.1%
0.31 15
 
< 0.1%
0.3 25
 
0.1%
0.29 63
0.2%
0.28 76
0.2%

KUZHMLE
Real number (ℝ)

Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.4493033
Minimum16
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:52.449985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile32
Q136
median38
Q342
95-th percentile46
Maximum66
Range50
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.677761433
Coefficient of variation (CV)0.1216604992
Kurtosis3.71615647
Mean38.4493033
Median Absolute Deviation (MAD)2
Skewness-0.4128349268
Sum1396248
Variance21.88145202
MonotonicityNot monotonic
2024-08-10T10:47:52.846373image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
38 7695
21.2%
40 7431
20.5%
36 6015
16.6%
42 4950
13.6%
34 3194
8.8%
44 2413
 
6.6%
32 1239
 
3.4%
46 1051
 
2.9%
48 370
 
1.0%
30 353
 
1.0%
Other values (16) 1603
 
4.4%
ValueCountFrequency (%)
16 9
 
< 0.1%
18 57
 
0.2%
20 114
0.3%
22 250
0.7%
24 272
0.7%
ValueCountFrequency (%)
66 2
 
< 0.1%
64 6
 
< 0.1%
62 17
 
< 0.1%
60 28
0.1%
58 52
0.1%

ZIQDKWK
Real number (ℝ)

Distinct183
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1279314889
Minimum0.053312
Maximum0.213504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:53.125640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.053312
5-th percentile0.106368
Q10.119808
median0.126768
Q30.138936
95-th percentile0.147136
Maximum0.213504
Range0.160192
Interquartile range (IQR)0.019128

Descriptive statistics

Standard deviation0.01552016852
Coefficient of variation (CV)0.1213162502
Kurtosis3.743472516
Mean0.1279314889
Median Absolute Deviation (MAD)0.00696
Skewness-0.4030684797
Sum4645.704088
Variance0.0002408756309
MonotonicityNot monotonic
2024-08-10T10:47:53.453614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.126616 1657
 
4.6%
0.13328 1490
 
4.1%
0.126464 1390
 
3.8%
0.13296 1315
 
3.6%
0.126312 1240
 
3.4%
0.13312 1224
 
3.4%
0.119952 1211
 
3.3%
0.126768 1188
 
3.3%
0.13344 1179
 
3.2%
0.119808 1140
 
3.1%
Other values (173) 23280
64.1%
ValueCountFrequency (%)
0.053312 5
 
< 0.1%
0.053376 2
 
< 0.1%
0.059904 5
 
< 0.1%
0.059976 24
0.1%
0.060048 12
< 0.1%
ValueCountFrequency (%)
0.213504 2
 
< 0.1%
0.213248 2
 
< 0.1%
0.206832 1
 
< 0.1%
0.206584 15
< 0.1%
0.20016 12
< 0.1%

HPIXBEZ
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.324686898
Minimum3.3
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:53.746967image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.312
Q13.32
median3.324
Q33.328
95-th percentile3.336
Maximum3.348
Range0.048
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007828051218
Coefficient of variation (CV)0.002354522834
Kurtosis-0.1481859258
Mean3.324686898
Median Absolute Deviation (MAD)0.004
Skewness-0.07779219054
Sum120732.68
Variance6.127838586 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:54.013020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.328 7665
21.1%
3.324 6712
18.5%
3.32 5542
15.3%
3.316 5020
13.8%
3.332 4728
13.0%
3.336 2461
 
6.8%
3.312 1197
 
3.3%
3.34 1192
 
3.3%
3.308 1014
 
2.8%
3.344 399
 
1.1%
Other values (3) 384
 
1.1%
ValueCountFrequency (%)
3.3 3
 
< 0.1%
3.304 370
 
1.0%
3.308 1014
 
2.8%
3.312 1197
 
3.3%
3.316 5020
13.8%
ValueCountFrequency (%)
3.348 11
 
< 0.1%
3.344 399
 
1.1%
3.34 1192
 
3.3%
3.336 2461
6.8%
3.332 4728
13.0%

UOGNHSF
Real number (ℝ)

Distinct75
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.426309688
Minimum0.95
Maximum1.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:54.297541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.95
5-th percentile1.25
Q11.32
median1.4
Q31.53
95-th percentile1.66
Maximum1.87
Range0.92
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1300412016
Coefficient of variation (CV)0.09117318818
Kurtosis-0.707007211
Mean1.426309688
Median Absolute Deviation (MAD)0.1
Skewness0.463395041
Sum51795.01
Variance0.0169107141
MonotonicityNot monotonic
2024-08-10T10:47:54.592875image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.32 1388
 
3.8%
1.33 1342
 
3.7%
1.31 1324
 
3.6%
1.34 1289
 
3.5%
1.35 1198
 
3.3%
1.29 1197
 
3.3%
1.3 1171
 
3.2%
1.28 1147
 
3.2%
1.36 1096
 
3.0%
1.37 1014
 
2.8%
Other values (65) 24148
66.5%
ValueCountFrequency (%)
0.95 1
 
< 0.1%
1.13 1
 
< 0.1%
1.14 4
 
< 0.1%
1.15 6
< 0.1%
1.16 13
< 0.1%
ValueCountFrequency (%)
1.87 1
 
< 0.1%
1.85 2
 
< 0.1%
1.84 12
< 0.1%
1.83 6
< 0.1%
1.82 4
 
< 0.1%

TBGAWDK
Real number (ℝ)

Distinct78
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.2640304
Minimum190
Maximum376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:54.905868image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum190
5-th percentile250
Q1264
median280
Q3306
95-th percentile332
Maximum376
Range186
Interquartile range (IQR)42

Descriptive statistics

Standard deviation25.99489986
Coefficient of variation (CV)0.09112575401
Kurtosis-0.6986852852
Mean285.2640304
Median Absolute Deviation (MAD)20
Skewness0.4662769575
Sum10359078
Variance675.7348188
MonotonicityNot monotonic
2024-08-10T10:47:55.205582image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262 1347
 
3.7%
266 1344
 
3.7%
264 1316
 
3.6%
268 1269
 
3.5%
260 1246
 
3.4%
258 1190
 
3.3%
270 1189
 
3.3%
256 1152
 
3.2%
272 1126
 
3.1%
274 1021
 
2.8%
Other values (68) 24114
66.4%
ValueCountFrequency (%)
190 1
 
< 0.1%
220 1
 
< 0.1%
226 2
 
< 0.1%
228 5
< 0.1%
230 6
< 0.1%
ValueCountFrequency (%)
376 2
< 0.1%
374 1
 
< 0.1%
372 1
 
< 0.1%
370 3
< 0.1%
368 4
< 0.1%

GRBGIZR
Real number (ℝ)

Distinct673
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9483233858
Minimum0.644856
Maximum1.243176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:55.528217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.644856
5-th percentile0.833
Q10.877536
median0.93184
Q31.013472
95-th percentile1.103568
Maximum1.243176
Range0.59832
Interquartile range (IQR)0.135936

Descriptive statistics

Standard deviation0.08627576025
Coefficient of variation (CV)0.0909771514
Kurtosis-0.6954577952
Mean0.9483233858
Median Absolute Deviation (MAD)0.06448
Skewness0.4690707594
Sum34437.41543
Variance0.007443506806
MonotonicityNot monotonic
2024-08-10T10:47:55.825619image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.878592 293
 
0.8%
0.871936 269
 
0.7%
0.891904 255
 
0.7%
0.885248 253
 
0.7%
0.87648 251
 
0.7%
0.884184 244
 
0.7%
0.86984 241
 
0.7%
0.86528 240
 
0.7%
0.89856 238
 
0.7%
0.877536 234
 
0.6%
Other values (663) 33796
93.1%
ValueCountFrequency (%)
0.644856 1
 
< 0.1%
0.752128 4
< 0.1%
0.753936 1
 
< 0.1%
0.758784 4
< 0.1%
0.76544 3
< 0.1%
ValueCountFrequency (%)
1.243176 1
 
< 0.1%
1.238016 3
< 0.1%
1.23136 3
< 0.1%
1.22988 1
 
< 0.1%
1.224704 6
< 0.1%

VOYPYYV
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.318551853
Minimum3.296
Maximum3.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:56.106706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.296
5-th percentile3.304
Q13.312
median3.32
Q33.324
95-th percentile3.332
Maximum3.34
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007799297282
Coefficient of variation (CV)0.002350211064
Kurtosis-0.1427663033
Mean3.318551853
Median Absolute Deviation (MAD)0.004
Skewness-0.1152532093
Sum120509.892
Variance6.082903809 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:56.333849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.32 7388
20.3%
3.324 6701
18.5%
3.316 6013
16.6%
3.312 5663
15.6%
3.328 3206
8.8%
3.308 2987
8.2%
3.332 1802
 
5.0%
3.3 877
 
2.4%
3.304 859
 
2.4%
3.336 623
 
1.7%
Other values (2) 195
 
0.5%
ValueCountFrequency (%)
3.296 92
 
0.3%
3.3 877
 
2.4%
3.304 859
 
2.4%
3.308 2987
8.2%
3.312 5663
15.6%
ValueCountFrequency (%)
3.34 103
 
0.3%
3.336 623
 
1.7%
3.332 1802
 
5.0%
3.328 3206
8.8%
3.324 6701
18.5%

DDZYPGM
Real number (ℝ)

Distinct71
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.10582062
Minimum2.81
Maximum3.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:56.603367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.81
5-th percentile2.93
Q13.01
median3.09
Q33.19
95-th percentile3.34
Maximum3.51
Range0.7
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.1244436738
Coefficient of variation (CV)0.04006788834
Kurtosis-0.5554911311
Mean3.10582062
Median Absolute Deviation (MAD)0.09
Skewness0.4733131233
Sum112784.77
Variance0.01548622795
MonotonicityNot monotonic
2024-08-10T10:47:56.906316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.99 1285
 
3.5%
3.03 1206
 
3.3%
3 1204
 
3.3%
2.98 1181
 
3.3%
3.01 1157
 
3.2%
3.04 1137
 
3.1%
3.05 1126
 
3.1%
3.02 1119
 
3.1%
2.97 1098
 
3.0%
3.07 1093
 
3.0%
Other values (61) 24708
68.0%
ValueCountFrequency (%)
2.81 5
 
< 0.1%
2.82 1
 
< 0.1%
2.83 2
 
< 0.1%
2.84 12
< 0.1%
2.85 13
< 0.1%
ValueCountFrequency (%)
3.51 1
 
< 0.1%
3.5 4
< 0.1%
3.49 5
< 0.1%
3.48 9
< 0.1%
3.47 9
< 0.1%

NGIJPET
Real number (ℝ)

Distinct72
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean621.15388
Minimum560
Maximum706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:57.215190image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum560
5-th percentile588
Q1602
median618
Q3638
95-th percentile668
Maximum706
Range146
Interquartile range (IQR)36

Descriptive statistics

Standard deviation24.86825591
Coefficient of variation (CV)0.04003558009
Kurtosis-0.5338036796
Mean621.15388
Median Absolute Deviation (MAD)18
Skewness0.4786476626
Sum22556582
Variance618.4301522
MonotonicityNot monotonic
2024-08-10T10:47:57.502019image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 1228
 
3.4%
598 1219
 
3.4%
602 1187
 
3.3%
604 1184
 
3.3%
606 1155
 
3.2%
614 1146
 
3.2%
594 1123
 
3.1%
596 1116
 
3.1%
610 1110
 
3.1%
612 1102
 
3.0%
Other values (62) 24744
68.1%
ValueCountFrequency (%)
560 1
 
< 0.1%
562 1
 
< 0.1%
564 4
 
< 0.1%
566 7
< 0.1%
568 12
< 0.1%
ValueCountFrequency (%)
706 1
 
< 0.1%
700 2
 
< 0.1%
698 8
< 0.1%
696 5
 
< 0.1%
694 13
< 0.1%

LQEHWDR
Real number (ℝ)

Distinct643
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.061276996
Minimum1.85472
Maximum2.325736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:57.800413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.85472
5-th percentile1.947864
Q11.9944
median2.047584
Q32.11816
95-th percentile2.215088
Maximum2.325736
Range0.471016
Interquartile range (IQR)0.12376

Descriptive statistics

Standard deviation0.08270821743
Coefficient of variation (CV)0.04012474674
Kurtosis-0.5240122494
Mean2.061276996
Median Absolute Deviation (MAD)0.059832
Skewness0.48967668
Sum74853.21284
Variance0.00684064923
MonotonicityNot monotonic
2024-08-10T10:47:58.114120image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.97872 293
 
0.8%
1.992 283
 
0.8%
1.98536 270
 
0.7%
1.97208 262
 
0.7%
1.99864 258
 
0.7%
2.00528 240
 
0.7%
1.993824 234
 
0.6%
1.973952 231
 
0.6%
1.9872 231
 
0.6%
1.9896 231
 
0.6%
Other values (633) 33781
93.0%
ValueCountFrequency (%)
1.85472 1
< 0.1%
1.86584 1
< 0.1%
1.867968 1
< 0.1%
1.872328 1
< 0.1%
1.87248 1
< 0.1%
ValueCountFrequency (%)
2.325736 1
 
< 0.1%
2.320152 4
< 0.1%
2.31736 1
 
< 0.1%
2.313504 2
< 0.1%
2.31072 3
< 0.1%

CZUZJKN
Real number (ℝ)

Distinct1510
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.96691334
Minimum23.441
Maximum34.619
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:58.452083image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum23.441
5-th percentile26.012
Q127.034
median27.875
Q328.787
95-th percentile30.213
Maximum34.619
Range11.178
Interquartile range (IQR)1.753

Descriptive statistics

Standard deviation1.312374583
Coefficient of variation (CV)0.04692597165
Kurtosis0.6388529676
Mean27.96691334
Median Absolute Deviation (MAD)0.875
Skewness0.52724482
Sum1015590.491
Variance1.722327045
MonotonicityNot monotonic
2024-08-10T10:47:58.739152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.688 383
 
1.1%
28.438 344
 
0.9%
27.25 302
 
0.8%
27.5 288
 
0.8%
26.875 288
 
0.8%
27.563 287
 
0.8%
28.125 285
 
0.8%
27.313 276
 
0.8%
26.938 272
 
0.7%
27.125 269
 
0.7%
Other values (1500) 33320
91.8%
ValueCountFrequency (%)
23.441 1
< 0.1%
23.743 1
< 0.1%
24.084 1
< 0.1%
24.125 1
< 0.1%
24.243 1
< 0.1%
ValueCountFrequency (%)
34.619 1
< 0.1%
34.353 1
< 0.1%
34.338 1
< 0.1%
34.25 1
< 0.1%
34.18 1
< 0.1%

QWGVMUQ
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.041274219
Minimum3.016
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:59.017776image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.016
5-th percentile3.024
Q13.036
median3.04
Q33.048
95-th percentile3.056
Maximum3.068
Range0.052
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008698322775
Coefficient of variation (CV)0.002860091576
Kurtosis0.4412673761
Mean3.041274219
Median Absolute Deviation (MAD)0.004
Skewness-0.4597842759
Sum110440.832
Variance7.56608191 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:59.281690image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.04 8439
23.2%
3.044 7469
20.6%
3.048 4761
13.1%
3.032 3750
10.3%
3.036 3336
 
9.2%
3.052 3077
 
8.5%
3.056 1934
 
5.3%
3.024 1150
 
3.2%
3.028 854
 
2.4%
3.02 695
 
1.9%
Other values (4) 849
 
2.3%
ValueCountFrequency (%)
3.016 484
 
1.3%
3.02 695
 
1.9%
3.024 1150
 
3.2%
3.028 854
 
2.4%
3.032 3750
10.3%
ValueCountFrequency (%)
3.068 62
 
0.2%
3.064 38
 
0.1%
3.06 265
 
0.7%
3.056 1934
5.3%
3.052 3077
8.5%

DBSUCIH
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.672357879
Minimum1.652
Maximum1.696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:59.514176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.652
5-th percentile1.66
Q11.668
median1.672
Q31.68
95-th percentile1.684
Maximum1.696
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007810447144
Coefficient of variation (CV)0.004670320417
Kurtosis-0.6901620833
Mean1.672357879
Median Absolute Deviation (MAD)0.008
Skewness0.3833747026
Sum60730.004
Variance6.10030846 × 10-5
MonotonicityNot monotonic
2024-08-10T10:47:59.719389image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.668 7740
21.3%
1.672 6454
17.8%
1.664 6179
17.0%
1.68 4842
13.3%
1.676 3732
10.3%
1.684 3199
8.8%
1.66 2240
 
6.2%
1.688 1440
 
4.0%
1.692 350
 
1.0%
1.656 124
 
0.3%
Other values (2) 14
 
< 0.1%
ValueCountFrequency (%)
1.652 4
 
< 0.1%
1.656 124
 
0.3%
1.66 2240
 
6.2%
1.664 6179
17.0%
1.668 7740
21.3%
ValueCountFrequency (%)
1.696 10
 
< 0.1%
1.692 350
 
1.0%
1.688 1440
 
4.0%
1.684 3199
8.8%
1.68 4842
13.3%

WCHWYUP
Real number (ℝ)

Distinct30
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.91380735
Minimum22
Maximum36.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:47:59.970707image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24.5
Q126
median28
Q329.5
95-th percentile31.5
Maximum36.5
Range14.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.192142527
Coefficient of variation (CV)0.07853255202
Kurtosis-0.43918175
Mean27.91380735
Median Absolute Deviation (MAD)1.5
Skewness0.003464081182
Sum1013662
Variance4.805488861
MonotonicityNot monotonic
2024-08-10T10:48:00.240122image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28.5 4098
11.3%
28 3773
 
10.4%
29 3310
 
9.1%
29.5 2926
 
8.1%
27.5 2529
 
7.0%
30 2123
 
5.8%
25.5 2088
 
5.7%
25 1924
 
5.3%
26 1907
 
5.3%
27 1852
 
5.1%
Other values (20) 9784
26.9%
ValueCountFrequency (%)
22 2
 
< 0.1%
22.5 17
 
< 0.1%
23 132
 
0.4%
23.5 461
1.3%
24 1052
2.9%
ValueCountFrequency (%)
36.5 3
 
< 0.1%
36 2
 
< 0.1%
35.5 3
 
< 0.1%
35 19
0.1%
34.5 27
0.1%

GRYCMJK
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.04126012
Minimum3.016
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:00.488863image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.016
5-th percentile3.024
Q13.036
median3.04
Q33.048
95-th percentile3.056
Maximum3.068
Range0.052
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008686996512
Coefficient of variation (CV)0.002856380635
Kurtosis0.435246687
Mean3.04126012
Median Absolute Deviation (MAD)0.004
Skewness-0.4592762863
Sum110440.32
Variance7.54639084 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:00.732162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.04 8463
23.3%
3.044 7480
20.6%
3.048 4778
13.2%
3.032 3777
10.4%
3.036 3287
 
9.1%
3.052 3055
 
8.4%
3.056 1917
 
5.3%
3.024 1168
 
3.2%
3.028 865
 
2.4%
3.02 682
 
1.9%
Other values (4) 842
 
2.3%
ValueCountFrequency (%)
3.016 480
 
1.3%
3.02 682
 
1.9%
3.024 1168
 
3.2%
3.028 865
 
2.4%
3.032 3777
10.4%
ValueCountFrequency (%)
3.068 59
 
0.2%
3.064 41
 
0.1%
3.06 262
 
0.7%
3.056 1917
5.3%
3.052 3055
8.4%

ISLNVVQ
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9260775459
Minimum0.908
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:00.990375image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.908
5-th percentile0.916
Q10.924
median0.928
Q30.932
95-th percentile0.936
Maximum0.944
Range0.036
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.006049242189
Coefficient of variation (CV)0.006532111934
Kurtosis-0.4704642624
Mean0.9260775459
Median Absolute Deviation (MAD)0.004
Skewness-0.06068432478
Sum33629.58
Variance3.659333106 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:01.225308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.928 9065
25.0%
0.924 9027
24.9%
0.932 5754
15.8%
0.92 4732
13.0%
0.916 3456
 
9.5%
0.936 3199
 
8.8%
0.912 568
 
1.6%
0.94 499
 
1.4%
0.944 11
 
< 0.1%
0.908 3
 
< 0.1%
ValueCountFrequency (%)
0.908 3
 
< 0.1%
0.912 568
 
1.6%
0.916 3456
 
9.5%
0.92 4732
13.0%
0.924 9027
24.9%
ValueCountFrequency (%)
0.944 11
 
< 0.1%
0.94 499
 
1.4%
0.936 3199
 
8.8%
0.932 5754
15.8%
0.928 9065
25.0%

XIKNUBQ
Real number (ℝ)

Distinct30
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.93132125
Minimum22
Maximum36.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:01.485062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24.5
Q126
median28
Q329.5
95-th percentile31.5
Maximum36.5
Range14.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.187876606
Coefficient of variation (CV)0.07833058043
Kurtosis-0.4349703757
Mean27.93132125
Median Absolute Deviation (MAD)1.5
Skewness0.009461104237
Sum1014298
Variance4.786804043
MonotonicityNot monotonic
2024-08-10T10:48:01.749143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28.5 4089
11.3%
28 3719
 
10.2%
29 3339
 
9.2%
29.5 2960
 
8.2%
27.5 2529
 
7.0%
30 2125
 
5.9%
25.5 2094
 
5.8%
25 1971
 
5.4%
26 1906
 
5.2%
27 1855
 
5.1%
Other values (20) 9727
26.8%
ValueCountFrequency (%)
22 2
 
< 0.1%
22.5 16
 
< 0.1%
23 114
 
0.3%
23.5 447
1.2%
24 990
2.7%
ValueCountFrequency (%)
36.5 3
 
< 0.1%
36 2
 
< 0.1%
35.5 4
 
< 0.1%
35 18
< 0.1%
34.5 34
0.1%

LXQDRSD
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.326077766
Minimum3.304
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:02.037098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.312
Q13.32
median3.328
Q33.332
95-th percentile3.34
Maximum3.348
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007815479318
Coefficient of variation (CV)0.002349758445
Kurtosis-0.1899369885
Mean3.326077766
Median Absolute Deviation (MAD)0.004
Skewness-0.1081760732
Sum120783.188
Variance6.108171697 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:02.269501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.328 7594
20.9%
3.332 6281
17.3%
3.32 5915
16.3%
3.324 5770
15.9%
3.316 3600
9.9%
3.336 2973
 
8.2%
3.34 1689
 
4.7%
3.308 994
 
2.7%
3.312 773
 
2.1%
3.344 544
 
1.5%
Other values (2) 181
 
0.5%
ValueCountFrequency (%)
3.304 124
 
0.3%
3.308 994
 
2.7%
3.312 773
 
2.1%
3.316 3600
9.9%
3.32 5915
16.3%
ValueCountFrequency (%)
3.348 57
 
0.2%
3.344 544
 
1.5%
3.34 1689
 
4.7%
3.336 2973
8.2%
3.332 6281
17.3%

IHLMFTI
Real number (ℝ)

Distinct33
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.052754585
Minimum0.92
Maximum1.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:02.533318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.92
5-th percentile1
Q11.03
median1.05
Q31.08
95-th percentile1.11
Maximum1.24
Range0.32
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03497179482
Coefficient of variation (CV)0.03321932321
Kurtosis0.7084652589
Mean1.052754585
Median Absolute Deviation (MAD)0.02
Skewness0.1835213371
Sum38229.73
Variance0.001223026433
MonotonicityNot monotonic
2024-08-10T10:48:02.786763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1.04 4439
12.2%
1.05 4309
11.9%
1.06 3980
11.0%
1.03 3685
10.1%
1.07 3348
9.2%
1.02 3026
8.3%
1.08 2878
7.9%
1.09 2216
6.1%
1.01 1795
 
4.9%
1.1 1611
 
4.4%
Other values (23) 5027
13.8%
ValueCountFrequency (%)
0.92 5
 
< 0.1%
0.93 13
 
< 0.1%
0.94 48
0.1%
0.95 105
0.3%
0.96 108
0.3%
ValueCountFrequency (%)
1.24 1
 
< 0.1%
1.23 2
 
< 0.1%
1.22 3
 
< 0.1%
1.21 7
 
< 0.1%
1.2 19
0.1%

FWILIBF
Real number (ℝ)

Distinct33
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.5769676
Minimum182
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:03.234345image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum182
5-th percentile200
Q1206
median210
Q3216
95-th percentile222
Maximum246
Range64
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.945129936
Coefficient of variation (CV)0.032981432
Kurtosis0.6690343885
Mean210.5769676
Median Absolute Deviation (MAD)4
Skewness0.1669568074
Sum7646892
Variance48.23482983
MonotonicityNot monotonic
2024-08-10T10:48:03.582041image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
208 4325
11.9%
210 4160
11.5%
212 4113
11.3%
206 3776
10.4%
214 3515
9.7%
204 2927
8.1%
216 2910
8.0%
218 2205
6.1%
202 1823
 
5.0%
220 1588
 
4.4%
Other values (23) 4972
13.7%
ValueCountFrequency (%)
182 1
 
< 0.1%
184 2
 
< 0.1%
186 19
 
0.1%
188 44
0.1%
190 97
0.3%
ValueCountFrequency (%)
246 1
 
< 0.1%
244 3
 
< 0.1%
242 12
< 0.1%
240 13
< 0.1%
238 27
0.1%

KBNVGJL
Real number (ℝ)

Distinct246
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7003315691
Minimum0.612352
Maximum0.825344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:04.023691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.612352
5-th percentile0.6656
Q10.684744
median0.69888
Q30.714528
95-th percentile0.738816
Maximum0.825344
Range0.212992
Interquartile range (IQR)0.029784

Descriptive statistics

Standard deviation0.02311770807
Coefficient of variation (CV)0.03300966155
Kurtosis0.7319054134
Mean0.7003315691
Median Absolute Deviation (MAD)0.014168
Skewness0.2461860557
Sum25431.8406
Variance0.0005344284263
MonotonicityNot monotonic
2024-08-10T10:48:04.517871image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.685568 922
 
2.5%
0.692224 917
 
2.5%
0.69056 902
 
2.5%
0.69888 863
 
2.4%
0.6972 788
 
2.2%
0.691392 765
 
2.1%
0.70384 764
 
2.1%
0.705536 754
 
2.1%
0.706384 730
 
2.0%
0.704688 729
 
2.0%
Other values (236) 28180
77.6%
ValueCountFrequency (%)
0.612352 1
 
< 0.1%
0.613088 2
 
< 0.1%
0.613824 2
 
< 0.1%
0.61456 2
 
< 0.1%
0.619008 8
< 0.1%
ValueCountFrequency (%)
0.825344 1
 
< 0.1%
0.819672 1
 
< 0.1%
0.806344 2
 
< 0.1%
0.805376 6
< 0.1%
0.79968 13
< 0.1%

IJRFPEK
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.31252035
Minimum3.288
Maximum3.336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:04.877290image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.288
5-th percentile3.3
Q13.308
median3.312
Q33.316
95-th percentile3.324
Maximum3.336
Range0.048
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007874751837
Coefficient of variation (CV)0.002377268969
Kurtosis-0.09186750168
Mean3.31252035
Median Absolute Deviation (MAD)0.004
Skewness-0.08738751637
Sum120290.864
Variance6.20117165 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:05.302346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.316 7830
21.6%
3.312 6684
18.4%
3.308 5736
15.8%
3.304 4826
13.3%
3.32 4342
12.0%
3.324 2548
 
7.0%
3.3 1427
 
3.9%
3.328 1047
 
2.9%
3.296 946
 
2.6%
3.292 470
 
1.3%
Other values (3) 458
 
1.3%
ValueCountFrequency (%)
3.288 11
 
< 0.1%
3.292 470
 
1.3%
3.296 946
 
2.6%
3.3 1427
 
3.9%
3.304 4826
13.3%
ValueCountFrequency (%)
3.336 12
 
< 0.1%
3.332 435
 
1.2%
3.328 1047
 
2.9%
3.324 2548
7.0%
3.32 4342
12.0%

SEWCJZQ
Real number (ℝ)

Distinct146
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.697437077
Minimum4.12
Maximum5.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:05.613593image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.12
5-th percentile4.36
Q14.47
median4.6
Q34.95
95-th percentile5.2
Maximum5.58
Range1.46
Interquartile range (IQR)0.48

Descriptive statistics

Standard deviation0.2838008027
Coefficient of variation (CV)0.06041609458
Kurtosis-0.7507928824
Mean4.697437077
Median Absolute Deviation (MAD)0.18
Skewness0.6143100949
Sum170582.73
Variance0.08054289562
MonotonicityNot monotonic
2024-08-10T10:48:06.092527image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.48 880
 
2.4%
4.47 855
 
2.4%
4.49 828
 
2.3%
4.46 826
 
2.3%
4.5 820
 
2.3%
4.45 812
 
2.2%
4.44 779
 
2.1%
4.43 766
 
2.1%
4.52 764
 
2.1%
4.51 752
 
2.1%
Other values (136) 28232
77.7%
ValueCountFrequency (%)
4.12 1
 
< 0.1%
4.14 1
 
< 0.1%
4.15 1
 
< 0.1%
4.16 2
 
< 0.1%
4.17 5
< 0.1%
ValueCountFrequency (%)
5.58 4
< 0.1%
5.57 4
< 0.1%
5.56 4
< 0.1%
5.55 7
< 0.1%
5.54 8
< 0.1%

EMIXPGQ
Real number (ℝ)

Distinct145
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean939.4576197
Minimum822
Maximum1116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:06.646265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum822
5-th percentile872
Q1894
median920
Q3988
95-th percentile1040
Maximum1116
Range294
Interquartile range (IQR)94

Descriptive statistics

Standard deviation56.73416851
Coefficient of variation (CV)0.06039034367
Kurtosis-0.7511665348
Mean939.4576197
Median Absolute Deviation (MAD)36
Skewness0.6146212645
Sum34115464
Variance3218.765877
MonotonicityNot monotonic
2024-08-10T10:48:07.143075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
894 883
 
2.4%
888 855
 
2.4%
902 851
 
2.3%
892 847
 
2.3%
896 844
 
2.3%
898 819
 
2.3%
890 780
 
2.1%
900 770
 
2.1%
886 766
 
2.1%
904 759
 
2.1%
Other values (135) 28140
77.5%
ValueCountFrequency (%)
822 1
 
< 0.1%
826 1
 
< 0.1%
828 3
< 0.1%
834 4
< 0.1%
836 7
< 0.1%
ValueCountFrequency (%)
1116 1
 
< 0.1%
1114 2
 
< 0.1%
1112 3
< 0.1%
1110 6
< 0.1%
1108 6
< 0.1%

OXRCIYW
Real number (ℝ)

Distinct1252
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.112010573
Minimum2.742272
Maximum3.71392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:07.662827image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.742272
5-th percentile2.887696
Q12.960928
median3.046288
Q33.2736
95-th percentile3.442768
Maximum3.71392
Range0.971648
Interquartile range (IQR)0.312672

Descriptive statistics

Standard deviation0.1872058124
Coefficient of variation (CV)0.06015590502
Kurtosis-0.7451139406
Mean3.112010573
Median Absolute Deviation (MAD)0.118944
Skewness0.6172846598
Sum113009.5519
Variance0.03504601621
MonotonicityNot monotonic
2024-08-10T10:48:07.979865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.964504 190
 
0.5%
2.944608 176
 
0.5%
2.94412 176
 
0.5%
2.94768 174
 
0.5%
2.957872 172
 
0.5%
2.950736 171
 
0.5%
2.967552 170
 
0.5%
2.977768 168
 
0.5%
2.934432 165
 
0.5%
2.963968 162
 
0.4%
Other values (1242) 34590
95.3%
ValueCountFrequency (%)
2.742272 1
 
< 0.1%
2.752232 1
 
< 0.1%
2.75228 1
 
< 0.1%
2.755536 4
< 0.1%
2.762144 1
 
< 0.1%
ValueCountFrequency (%)
3.71392 1
< 0.1%
3.687392 2
< 0.1%
3.685112 2
< 0.1%
3.682944 2
< 0.1%
3.6828 1
< 0.1%

LGRGANO
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:08.232091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:48:08.461954image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

IPLONQP
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:08.671882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:48:08.865635image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

TDWZDEP
Real number (ℝ)

Distinct75
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.785440078
Minimum9.491
Maximum10.175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:09.134825image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.491
5-th percentile9.633
Q19.704
median9.776
Q39.874
95-th percentile9.973
Maximum10.175
Range0.684
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.1122373724
Coefficient of variation (CV)0.01146983391
Kurtosis-0.3516242084
Mean9.785440078
Median Absolute Deviation (MAD)0.074
Skewness0.4482186332
Sum355348.471
Variance0.01259722777
MonotonicityNot monotonic
2024-08-10T10:48:09.453995image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.729 2624
 
7.2%
9.704 2483
 
6.8%
9.777 2259
 
6.2%
9.801 2052
 
5.7%
9.681 1693
 
4.7%
9.752 1625
 
4.5%
9.633 1477
 
4.1%
9.899 1467
 
4.0%
9.68 1283
 
3.5%
9.657 1199
 
3.3%
Other values (65) 18152
50.0%
ValueCountFrequency (%)
9.491 13
 
< 0.1%
9.514 3
 
< 0.1%
9.515 29
 
0.1%
9.538 73
0.2%
9.562 176
0.5%
ValueCountFrequency (%)
10.175 6
 
< 0.1%
10.15 1
 
< 0.1%
10.149 10
 
< 0.1%
10.124 73
0.2%
10.1 4
 
< 0.1%

GZGWPXA
Real number (ℝ)

Distinct303
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.939813708
Minimum7.439
Maximum8.455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:09.763923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.439
5-th percentile7.695
Q17.818
median7.953
Q38.054
95-th percentile8.166
Maximum8.455
Range1.016
Interquartile range (IQR)0.236

Descriptive statistics

Standard deviation0.1500003193
Coefficient of variation (CV)0.01889217113
Kurtosis-0.5415819364
Mean7.939813708
Median Absolute Deviation (MAD)0.114
Skewness-0.1126242424
Sum288326.395
Variance0.0225000958
MonotonicityNot monotonic
2024-08-10T10:48:10.061242image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.014 1357
 
3.7%
8.091 1326
 
3.7%
8.008 1105
 
3.0%
7.812 1075
 
3.0%
7.974 1020
 
2.8%
7.896 935
 
2.6%
8.097 839
 
2.3%
7.728 784
 
2.2%
8.002 769
 
2.1%
7.845 730
 
2.0%
Other values (293) 26374
72.6%
ValueCountFrequency (%)
7.439 1
 
< 0.1%
7.476 5
 
< 0.1%
7.516 7
 
< 0.1%
7.519 5
 
< 0.1%
7.525 25
0.1%
ValueCountFrequency (%)
8.455 1
 
< 0.1%
8.39 1
 
< 0.1%
8.384 1
 
< 0.1%
8.38 4
 
< 0.1%
8.374 13
< 0.1%

DKYSJTP
Real number (ℝ)

Distinct104
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.293601669
Minimum3.239
Maximum3.351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:10.375490image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.239
5-th percentile3.272
Q13.285
median3.294
Q33.302
95-th percentile3.315
Maximum3.351
Range0.112
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01308913068
Coefficient of variation (CV)0.003974108588
Kurtosis0.06662178984
Mean3.293601669
Median Absolute Deviation (MAD)0.009
Skewness0.02281303812
Sum119603.851
Variance0.0001713253419
MonotonicityNot monotonic
2024-08-10T10:48:10.677678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.295 1255
 
3.5%
3.293 1186
 
3.3%
3.288 1150
 
3.2%
3.291 1139
 
3.1%
3.298 1085
 
3.0%
3.296 1083
 
3.0%
3.29 1072
 
3.0%
3.292 1070
 
2.9%
3.286 1054
 
2.9%
3.294 1051
 
2.9%
Other values (94) 25169
69.3%
ValueCountFrequency (%)
3.239 2
< 0.1%
3.243 1
 
< 0.1%
3.244 1
 
< 0.1%
3.245 2
< 0.1%
3.247 3
< 0.1%
ValueCountFrequency (%)
3.351 1
< 0.1%
3.35 1
< 0.1%
3.344 1
< 0.1%
3.343 1
< 0.1%
3.342 1
< 0.1%

VTMSCPQ
Real number (ℝ)

Distinct34
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.147949661
Minimum1.132
Maximum1.208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:10.950306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.132
5-th percentile1.14065
Q11.145
median1.148
Q31.151
95-th percentile1.155
Maximum1.208
Range0.076
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.004446365305
Coefficient of variation (CV)0.003873310351
Kurtosis0.7393147813
Mean1.147949661
Median Absolute Deviation (MAD)0.003
Skewness0.00121720269
Sum41686.644
Variance1.977016443 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:11.239399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1.148 3653
 
10.1%
1.15 3225
 
8.9%
1.146 3000
 
8.3%
1.147 2792
 
7.7%
1.151 2735
 
7.5%
1.149 2677
 
7.4%
1.145 2522
 
6.9%
1.153 2229
 
6.1%
1.143 2108
 
5.8%
1.152 1994
 
5.5%
Other values (24) 9379
25.8%
ValueCountFrequency (%)
1.132 5
 
< 0.1%
1.133 13
 
< 0.1%
1.134 13
 
< 0.1%
1.135 31
 
0.1%
1.136 88
0.2%
ValueCountFrequency (%)
1.208 1
 
< 0.1%
1.164 5
 
< 0.1%
1.163 10
 
< 0.1%
1.162 8
 
< 0.1%
1.161 28
0.1%

UYXWBYP
Real number (ℝ)

Distinct100
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.284840172
Minimum3.231
Maximum3.344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:11.552915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.231
5-th percentile3.264
Q13.276
median3.285
Q33.293
95-th percentile3.306
Maximum3.344
Range0.113
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01263024547
Coefficient of variation (CV)0.003845010659
Kurtosis0.1175436549
Mean3.284840172
Median Absolute Deviation (MAD)0.008
Skewness0.05211395562
Sum119285.686
Variance0.0001595231007
MonotonicityNot monotonic
2024-08-10T10:48:11.843240image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.285 1266
 
3.5%
3.288 1189
 
3.3%
3.281 1170
 
3.2%
3.287 1132
 
3.1%
3.286 1124
 
3.1%
3.283 1118
 
3.1%
3.291 1101
 
3.0%
3.282 1100
 
3.0%
3.284 1097
 
3.0%
3.289 1088
 
3.0%
Other values (90) 24929
68.6%
ValueCountFrequency (%)
3.231 1
< 0.1%
3.235 1
< 0.1%
3.236 1
< 0.1%
3.237 1
< 0.1%
3.24 1
< 0.1%
ValueCountFrequency (%)
3.344 1
 
< 0.1%
3.339 4
< 0.1%
3.334 2
< 0.1%
3.333 3
< 0.1%
3.332 3
< 0.1%

YVAAWCN
Real number (ℝ)

Distinct29
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9560197445
Minimum0.943
Maximum1.007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:12.132368image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.943
5-th percentile0.95
Q10.954
median0.956
Q30.958
95-th percentile0.962
Maximum1.007
Range0.064
Interquartile range (IQR)0.004

Descriptive statistics

Standard deviation0.00348159768
Coefficient of variation (CV)0.003641763364
Kurtosis3.284223626
Mean0.9560197445
Median Absolute Deviation (MAD)0.002
Skewness0.1415890985
Sum34716.901
Variance1.212152241 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:12.400235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.957 4129
11.4%
0.956 4045
11.1%
0.955 3946
10.9%
0.958 3746
10.3%
0.954 3257
9.0%
0.959 3030
8.3%
0.953 2656
7.3%
0.952 2250
6.2%
0.96 2208
6.1%
0.961 1557
 
4.3%
Other values (19) 5490
15.1%
ValueCountFrequency (%)
0.943 1
 
< 0.1%
0.944 7
 
< 0.1%
0.945 25
 
0.1%
0.946 66
 
0.2%
0.947 167
0.5%
ValueCountFrequency (%)
1.007 2
 
< 0.1%
1.004 1
 
< 0.1%
0.969 1
 
< 0.1%
0.968 4
< 0.1%
0.967 8
< 0.1%

UTZNPAJ
Real number (ℝ)

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.796993281
Minimum1.762
Maximum1.824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:12.729808image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.762
5-th percentile1.788
Q11.793
median1.797
Q31.801
95-th percentile1.806
Maximum1.824
Range0.062
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.005680479548
Coefficient of variation (CV)0.003161102275
Kurtosis0.07290235606
Mean1.796993281
Median Absolute Deviation (MAD)0.004
Skewness0.03395340824
Sum65256.014
Variance3.226784789 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:13.032801image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.796 2767
 
7.6%
1.799 2699
 
7.4%
1.795 2555
 
7.0%
1.798 2324
 
6.4%
1.8 2235
 
6.2%
1.794 2229
 
6.1%
1.797 2224
 
6.1%
1.793 1834
 
5.1%
1.801 1824
 
5.0%
1.792 1758
 
4.8%
Other values (40) 13865
38.2%
ValueCountFrequency (%)
1.762 1
 
< 0.1%
1.773 1
 
< 0.1%
1.775 1
 
< 0.1%
1.776 3
< 0.1%
1.777 1
 
< 0.1%
ValueCountFrequency (%)
1.824 3
< 0.1%
1.823 1
 
< 0.1%
1.821 1
 
< 0.1%
1.819 3
< 0.1%
1.818 5
< 0.1%

UWOLTWR
Real number (ℝ)

Distinct33
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.153886793
Minimum1.137
Maximum1.169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:13.320849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.137
5-th percentile1.147
Q11.151
median1.154
Q31.157
95-th percentile1.161
Maximum1.169
Range0.032
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.004229442452
Coefficient of variation (CV)0.003665387695
Kurtosis-0.1183639064
Mean1.153886793
Median Absolute Deviation (MAD)0.003
Skewness-0.09288184819
Sum41902.245
Variance1.788818346 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:13.611829image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1.156 3795
10.5%
1.154 3572
9.8%
1.153 3415
 
9.4%
1.151 2915
 
8.0%
1.155 2875
 
7.9%
1.152 2541
 
7.0%
1.158 2462
 
6.8%
1.157 2163
 
6.0%
1.15 1963
 
5.4%
1.159 1898
 
5.2%
Other values (23) 8715
24.0%
ValueCountFrequency (%)
1.137 2
 
< 0.1%
1.138 1
 
< 0.1%
1.139 6
 
< 0.1%
1.14 11
< 0.1%
1.141 23
0.1%
ValueCountFrequency (%)
1.169 5
 
< 0.1%
1.168 6
 
< 0.1%
1.167 16
 
< 0.1%
1.166 53
0.1%
1.165 88
0.2%

AHBKVPC
Real number (ℝ)

Distinct48
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9452741642
Minimum0.928
Maximum0.975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:13.886905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.928
5-th percentile0.935
Q10.939
median0.946
Q30.95
95-th percentile0.956
Maximum0.975
Range0.047
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.006760919523
Coefficient of variation (CV)0.007152337151
Kurtosis-0.3064912331
Mean0.9452741642
Median Absolute Deviation (MAD)0.005
Skewness0.2485611075
Sum34326.686
Variance4.571003279 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:14.190810image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.947 2149
 
5.9%
0.948 2122
 
5.8%
0.949 2074
 
5.7%
0.95 2062
 
5.7%
0.939 1889
 
5.2%
0.937 1883
 
5.2%
0.938 1881
 
5.2%
0.946 1832
 
5.0%
0.951 1830
 
5.0%
0.94 1730
 
4.8%
Other values (38) 16862
46.4%
ValueCountFrequency (%)
0.928 1
 
< 0.1%
0.929 8
 
< 0.1%
0.93 22
 
0.1%
0.931 51
 
0.1%
0.932 143
0.4%
ValueCountFrequency (%)
0.975 2
 
< 0.1%
0.974 3
 
< 0.1%
0.973 1
 
< 0.1%
0.972 3
 
< 0.1%
0.971 8
< 0.1%

SMRUUUS
Real number (ℝ)

Distinct48
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6521383488
Minimum0.629
Maximum0.677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:14.512550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.629
5-th percentile0.64
Q10.647
median0.653
Q30.657
95-th percentile0.664
Maximum0.677
Range0.048
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.00717737347
Coefficient of variation (CV)0.01100590616
Kurtosis-0.1442173295
Mean0.6521383488
Median Absolute Deviation (MAD)0.004
Skewness0.01142380302
Sum23681.752
Variance5.151468993 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:14.815321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.655 3494
 
9.6%
0.656 2910
 
8.0%
0.657 2640
 
7.3%
0.654 2504
 
6.9%
0.653 1981
 
5.5%
0.658 1736
 
4.8%
0.652 1324
 
3.6%
0.644 1311
 
3.6%
0.646 1304
 
3.6%
0.647 1289
 
3.5%
Other values (38) 15821
43.6%
ValueCountFrequency (%)
0.629 1
 
< 0.1%
0.631 3
 
< 0.1%
0.632 6
 
< 0.1%
0.633 14
< 0.1%
0.634 30
0.1%
ValueCountFrequency (%)
0.677 3
 
< 0.1%
0.676 5
 
< 0.1%
0.675 9
 
< 0.1%
0.674 27
0.1%
0.673 49
0.1%

LCWSCVA
Real number (ℝ)

Distinct96
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.714847937
Minimum5.294
Maximum6.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:15.138620image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.294
5-th percentile5.509
Q15.608
median5.715
Q35.823
95-th percentile5.923
Maximum6.17
Range0.876
Interquartile range (IQR)0.215

Descriptive statistics

Standard deviation0.1345870051
Coefficient of variation (CV)0.02355040879
Kurtosis-0.5587907071
Mean5.714847937
Median Absolute Deviation (MAD)0.107
Skewness-0.09893868909
Sum207528.988
Variance0.01811366195
MonotonicityNot monotonic
2024-08-10T10:48:15.429113image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.769 2545
 
7.0%
5.854 2042
 
5.6%
5.608 1871
 
5.2%
5.777 1705
 
4.7%
5.846 1579
 
4.3%
5.685 1478
 
4.1%
5.531 1427
 
3.9%
5.785 1385
 
3.8%
5.615 1348
 
3.7%
5.692 1243
 
3.4%
Other values (86) 19691
54.2%
ValueCountFrequency (%)
5.294 6
 
< 0.1%
5.335 11
 
< 0.1%
5.363 12
 
< 0.1%
5.37 139
0.4%
5.377 43
 
0.1%
ValueCountFrequency (%)
6.17 1
 
< 0.1%
6.134 1
 
< 0.1%
6.126 1
 
< 0.1%
6.101 6
 
< 0.1%
6.093 24
0.1%

BGYZPRZ
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.517321143 × 10-5
Minimum0
Maximum0.003
Zeros35767
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:15.679979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.003
Range0.003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001235874458
Coefficient of variation (CV)8.145107998
Kurtosis76.26895313
Mean1.517321143 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.368886254
Sum0.551
Variance1.527385676 × 10-8
MonotonicityNot monotonic
2024-08-10T10:48:15.886337image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 35767
98.5%
0.001 545
 
1.5%
0.003 2
 
< 0.1%
ValueCountFrequency (%)
0 35767
98.5%
0.001 545
 
1.5%
0.003 2
 
< 0.1%
ValueCountFrequency (%)
0.003 2
 
< 0.1%
0.001 545
 
1.5%
0 35767
98.5%

BBMREOD
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.52558242 × 10-5
Minimum0
Maximum0.004
Zeros35765
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:16.123899image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.004
Range0.004
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.000124576033
Coefficient of variation (CV)8.165801554
Kurtosis93.73174363
Mean1.52558242 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.718980263
Sum0.554
Variance1.551918799 × 10-8
MonotonicityNot monotonic
2024-08-10T10:48:16.355316image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 35765
98.5%
0.001 547
 
1.5%
0.004 1
 
< 0.1%
0.003 1
 
< 0.1%
ValueCountFrequency (%)
0 35765
98.5%
0.001 547
 
1.5%
0.003 1
 
< 0.1%
0.004 1
 
< 0.1%
ValueCountFrequency (%)
0.004 1
 
< 0.1%
0.003 1
 
< 0.1%
0.001 547
 
1.5%
0 35765
98.5%

RLYWHCU
Real number (ℝ)

Distinct412
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.91232621
Minimum4.443
Maximum5.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:16.660192image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.443
5-th percentile4.508
Q14.552
median5.097
Q35.127
95-th percentile5.159
Maximum5.24
Range0.797
Interquartile range (IQR)0.575

Descriptive statistics

Standard deviation0.2796479458
Coefficient of variation (CV)0.05692780443
Kurtosis-1.605950423
Mean4.91232621
Median Absolute Deviation (MAD)0.045
Skewness-0.5919780757
Sum178386.214
Variance0.07820297358
MonotonicityNot monotonic
2024-08-10T10:48:16.964935image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.121 455
 
1.3%
5.115 425
 
1.2%
5.118 419
 
1.2%
5.13 414
 
1.1%
5.124 409
 
1.1%
5.119 405
 
1.1%
5.133 404
 
1.1%
5.11 397
 
1.1%
5.106 396
 
1.1%
5.109 396
 
1.1%
Other values (402) 32194
88.7%
ValueCountFrequency (%)
4.443 1
< 0.1%
4.448 1
< 0.1%
4.45 1
< 0.1%
4.452 1
< 0.1%
4.453 1
< 0.1%
ValueCountFrequency (%)
5.24 2
< 0.1%
5.231 1
< 0.1%
5.219 2
< 0.1%
5.217 2
< 0.1%
5.214 2
< 0.1%

DTSZUFG
Real number (ℝ)

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.795273063
Minimum1.766
Maximum1.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:17.273347image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.766
5-th percentile1.784
Q11.791
median1.795
Q31.8
95-th percentile1.806
Maximum1.82
Range0.054
Interquartile range (IQR)0.009

Descriptive statistics

Standard deviation0.006551096875
Coefficient of variation (CV)0.003649081029
Kurtosis-0.03989970131
Mean1.795273063
Median Absolute Deviation (MAD)0.004
Skewness-0.05954347813
Sum65193.546
Variance4.291687027 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:17.577427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.796 2386
 
6.6%
1.795 2212
 
6.1%
1.799 2074
 
5.7%
1.794 2071
 
5.7%
1.791 1994
 
5.5%
1.793 1922
 
5.3%
1.792 1917
 
5.3%
1.8 1908
 
5.3%
1.798 1893
 
5.2%
1.797 1848
 
5.1%
Other values (43) 16089
44.3%
ValueCountFrequency (%)
1.766 1
 
< 0.1%
1.768 1
 
< 0.1%
1.769 1
 
< 0.1%
1.77 3
< 0.1%
1.771 2
< 0.1%
ValueCountFrequency (%)
1.82 1
 
< 0.1%
1.818 8
 
< 0.1%
1.817 14
< 0.1%
1.816 6
 
< 0.1%
1.815 20
0.1%

MOGJHYG
Real number (ℝ)

Distinct186
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.602669797
Minimum3.512
Maximum3.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:17.969376image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.512
5-th percentile3.555
Q13.578
median3.599
Q33.626
95-th percentile3.659
Maximum3.71
Range0.198
Interquartile range (IQR)0.048

Descriptive statistics

Standard deviation0.03233164412
Coefficient of variation (CV)0.008974356781
Kurtosis-0.6227241664
Mean3.602669797
Median Absolute Deviation (MAD)0.024
Skewness0.2551937776
Sum130827.351
Variance0.001045335211
MonotonicityNot monotonic
2024-08-10T10:48:18.414109image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.591 577
 
1.6%
3.599 566
 
1.6%
3.594 552
 
1.5%
3.583 548
 
1.5%
3.602 520
 
1.4%
3.578 460
 
1.3%
3.621 458
 
1.3%
3.596 457
 
1.3%
3.575 457
 
1.3%
3.61 443
 
1.2%
Other values (176) 31276
86.1%
ValueCountFrequency (%)
3.512 1
 
< 0.1%
3.513 1
 
< 0.1%
3.515 1
 
< 0.1%
3.516 1
 
< 0.1%
3.519 5
< 0.1%
ValueCountFrequency (%)
3.71 1
< 0.1%
3.708 1
< 0.1%
3.704 2
< 0.1%
3.699 1
< 0.1%
3.698 2
< 0.1%

DCSSZRQ
Real number (ℝ)

Distinct99
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.209557113
Minimum3.153
Maximum3.265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:18.930669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.153
5-th percentile3.189
Q13.201
median3.21
Q33.218
95-th percentile3.23
Maximum3.265
Range0.112
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01244902701
Coefficient of variation (CV)0.003878736715
Kurtosis0.10978025
Mean3.209557113
Median Absolute Deviation (MAD)0.008
Skewness0.01389569038
Sum116551.857
Variance0.0001549782736
MonotonicityNot monotonic
2024-08-10T10:48:19.422412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.212 1315
 
3.6%
3.209 1246
 
3.4%
3.211 1242
 
3.4%
3.213 1202
 
3.3%
3.207 1192
 
3.3%
3.208 1131
 
3.1%
3.21 1115
 
3.1%
3.214 1112
 
3.1%
3.215 1094
 
3.0%
3.205 1092
 
3.0%
Other values (89) 24573
67.7%
ValueCountFrequency (%)
3.153 1
 
< 0.1%
3.161 3
< 0.1%
3.164 1
 
< 0.1%
3.165 5
< 0.1%
3.166 3
< 0.1%
ValueCountFrequency (%)
3.265 1
< 0.1%
3.262 1
< 0.1%
3.258 1
< 0.1%
3.257 2
< 0.1%
3.256 1
< 0.1%

MLKBLNF
Real number (ℝ)

Distinct106
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.270755879
Minimum3.215
Maximum3.325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:19.967872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.215
5-th percentile3.247
Q13.261
median3.271
Q33.281
95-th percentile3.295
Maximum3.325
Range0.11
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.01439125123
Coefficient of variation (CV)0.00439997718
Kurtosis-0.08725821247
Mean3.270755879
Median Absolute Deviation (MAD)0.01
Skewness0.0359456467
Sum118774.229
Variance0.000207108112
MonotonicityNot monotonic
2024-08-10T10:48:20.438430image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.27 1114
 
3.1%
3.268 1111
 
3.1%
3.272 1080
 
3.0%
3.273 1048
 
2.9%
3.266 994
 
2.7%
3.269 987
 
2.7%
3.275 961
 
2.6%
3.271 910
 
2.5%
3.276 899
 
2.5%
3.278 899
 
2.5%
Other values (96) 26311
72.5%
ValueCountFrequency (%)
3.215 1
 
< 0.1%
3.219 1
 
< 0.1%
3.221 4
< 0.1%
3.222 4
< 0.1%
3.223 2
< 0.1%
ValueCountFrequency (%)
3.325 3
 
< 0.1%
3.323 10
< 0.1%
3.322 3
 
< 0.1%
3.321 3
 
< 0.1%
3.32 2
 
< 0.1%

KOESNGG
Real number (ℝ)

Distinct2360
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.98143596
Minimum30.83631967
Maximum47.8125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:20.946583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum30.83631967
5-th percentile34.21826913
Q136.3125
median37.92185965
Q339.6295482
95-th percentile41.875
Maximum47.8125
Range16.97618033
Interquartile range (IQR)3.317048203

Descriptive statistics

Standard deviation2.340152065
Coefficient of variation (CV)0.06161304873
Kurtosis-0.3123986567
Mean37.98143596
Median Absolute Deviation (MAD)1.670390361
Skewness0.1278238684
Sum1379257.866
Variance5.476311688
MonotonicityNot monotonic
2024-08-10T10:48:21.443528image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.6875 202
 
0.6%
42.625 187
 
0.5%
39.0625 187
 
0.5%
39.75 184
 
0.5%
38.375 168
 
0.5%
41.0625 167
 
0.5%
40.4375 166
 
0.5%
40.125 166
 
0.5%
39.25 165
 
0.5%
39.1875 165
 
0.5%
Other values (2350) 34557
95.2%
ValueCountFrequency (%)
30.83631967 2
< 0.1%
31.00872639 2
< 0.1%
31.02635046 1
< 0.1%
31.04600484 1
< 0.1%
31.17939687 2
< 0.1%
ValueCountFrequency (%)
47.8125 1
< 0.1%
47.25 1
< 0.1%
47.16504003 2
< 0.1%
47.125 1
< 0.1%
46.81395732 1
< 0.1%

KQMLNEM
Real number (ℝ)

Distinct11650
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.020102018
Minimum0.7960155438
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:21.933980image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.7960155438
5-th percentile3.63944855
Q14.958411622
median5.995383093
Q37.119982326
95-th percentile8.4375
Maximum9
Range8.203984456
Interquartile range (IQR)2.161570704

Descriptive statistics

Standard deviation1.449358053
Coefficient of variation (CV)0.2407530718
Kurtosis-0.6466585728
Mean6.020102018
Median Absolute Deviation (MAD)1.067116907
Skewness-0.03118147523
Sum218613.9847
Variance2.100638767
MonotonicityNot monotonic
2024-08-10T10:48:22.465625image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.25 256
 
0.7%
5.6875 254
 
0.7%
5.8125 252
 
0.7%
6.3125 243
 
0.7%
5.9375 242
 
0.7%
6.5 241
 
0.7%
6.5625 235
 
0.6%
6.0625 235
 
0.6%
6.6875 233
 
0.6%
6.75 230
 
0.6%
Other values (11640) 33893
93.3%
ValueCountFrequency (%)
0.7960155438 1
< 0.1%
1.331502335 1
< 0.1%
1.533171019 1
< 0.1%
1.588206388 1
< 0.1%
1.696122908 1
< 0.1%
ValueCountFrequency (%)
9 94
0.3%
8.9998362 1
 
< 0.1%
8.999492329 1
 
< 0.1%
8.994434137 2
 
< 0.1%
8.989095821 1
 
< 0.1%

SZWWWHI
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:22.777887image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:48:22.986485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

RQTEIMY
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07291953517
Minimum0
Maximum4
Zeros33858
Zeros (%)93.2%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:23.249989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2835170741
Coefficient of variation (CV)3.888081204
Kurtosis24.84985112
Mean0.07291953517
Median Absolute Deviation (MAD)0
Skewness4.426969305
Sum2648
Variance0.08038193129
MonotonicityNot monotonic
2024-08-10T10:48:23.480157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 33858
93.2%
1 2298
 
6.3%
2 130
 
0.4%
3 22
 
0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
0 33858
93.2%
1 2298
 
6.3%
2 130
 
0.4%
3 22
 
0.1%
4 6
 
< 0.1%
ValueCountFrequency (%)
4 6
 
< 0.1%
3 22
 
0.1%
2 130
 
0.4%
1 2298
 
6.3%
0 33858
93.2%

FHCNORU
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.981947921
Minimum4.9368
Maximum5.0336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:23.714668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.9368
5-th percentile4.94648
Q14.96584
median4.9852
Q34.99488
95-th percentile5.01424
Maximum5.0336
Range0.0968
Interquartile range (IQR)0.02904

Descriptive statistics

Standard deviation0.01868688915
Coefficient of variation (CV)0.003750920212
Kurtosis-0.2589810985
Mean4.981947921
Median Absolute Deviation (MAD)0.00968
Skewness-0.1100788243
Sum180914.4568
Variance0.0003491998262
MonotonicityNot monotonic
2024-08-10T10:48:23.926706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4.9852 8526
23.5%
4.99488 6117
16.8%
4.97552 5987
16.5%
4.96584 4872
13.4%
5.00456 3097
 
8.5%
4.95616 2530
 
7.0%
5.01424 2346
 
6.5%
4.94648 1887
 
5.2%
4.9368 517
 
1.4%
5.02392 270
 
0.7%
ValueCountFrequency (%)
4.9368 517
 
1.4%
4.94648 1887
 
5.2%
4.95616 2530
7.0%
4.96584 4872
13.4%
4.97552 5987
16.5%
ValueCountFrequency (%)
5.0336 165
 
0.5%
5.02392 270
 
0.7%
5.01424 2346
 
6.5%
5.00456 3097
8.5%
4.99488 6117
16.8%

AKWDPAB
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.062914827
Minimum5.00456
Maximum5.12072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:24.171211image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.00456
5-th percentile5.0336
Q15.04328
median5.06264
Q35.082
95-th percentile5.10136
Maximum5.12072
Range0.11616
Interquartile range (IQR)0.03872

Descriptive statistics

Standard deviation0.02118842178
Coefficient of variation (CV)0.004185024339
Kurtosis-0.750891661
Mean5.062914827
Median Absolute Deviation (MAD)0.01936
Skewness0.01121641748
Sum183854.689
Variance0.0004489492174
MonotonicityNot monotonic
2024-08-10T10:48:24.424184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5.05296 6223
17.1%
5.07232 5830
16.1%
5.04328 4711
13.0%
5.082 4601
12.7%
5.06264 4433
12.2%
5.0336 3523
9.7%
5.09168 3493
9.6%
5.10136 1734
 
4.8%
5.02392 1272
 
3.5%
5.11104 235
 
0.6%
Other values (3) 259
 
0.7%
ValueCountFrequency (%)
5.00456 93
 
0.3%
5.01424 157
 
0.4%
5.02392 1272
 
3.5%
5.0336 3523
9.7%
5.04328 4711
13.0%
ValueCountFrequency (%)
5.12072 9
 
< 0.1%
5.11104 235
 
0.6%
5.10136 1734
 
4.8%
5.09168 3493
9.6%
5.082 4601
12.7%

HYBFEEM
Real number (ℝ)

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.07119656
Minimum11.506
Maximum12.364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:24.693716image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum11.506
5-th percentile11.924
Q111.99
median12.056
Q312.166
95-th percentile12.254
Maximum12.364
Range0.858
Interquartile range (IQR)0.176

Descriptive statistics

Standard deviation0.1113581657
Coefficient of variation (CV)0.009225114105
Kurtosis0.4860509141
Mean12.07119656
Median Absolute Deviation (MAD)0.088
Skewness-0.1225854186
Sum438353.432
Variance0.01240064106
MonotonicityNot monotonic
2024-08-10T10:48:24.966095image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
12.056 3565
 
9.8%
12.078 3255
 
9.0%
11.946 2792
 
7.7%
12.21 2627
 
7.2%
12.012 2500
 
6.9%
11.99 2471
 
6.8%
12.034 2398
 
6.6%
12.166 2351
 
6.5%
11.968 2265
 
6.2%
12.144 2222
 
6.1%
Other values (30) 9868
27.2%
ValueCountFrequency (%)
11.506 5
 
< 0.1%
11.528 7
 
< 0.1%
11.55 12
< 0.1%
11.572 12
< 0.1%
11.594 22
0.1%
ValueCountFrequency (%)
12.364 14
 
< 0.1%
12.342 51
 
0.1%
12.32 500
1.4%
12.298 455
1.3%
12.276 454
1.3%

OKMWHQM
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.898289253
Minimum4.83032
Maximum4.9368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:25.237986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.83032
5-th percentile4.86904
Q14.8884
median4.89808
Q34.90776
95-th percentile4.91744
Maximum4.9368
Range0.10648
Interquartile range (IQR)0.01936

Descriptive statistics

Standard deviation0.01584661424
Coefficient of variation (CV)0.003235132394
Kurtosis-0.3192333482
Mean4.898289253
Median Absolute Deviation (MAD)0.00968
Skewness-0.332163853
Sum177876.4759
Variance0.0002511151827
MonotonicityNot monotonic
2024-08-10T10:48:25.468363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4.90776 8280
22.8%
4.89808 7576
20.9%
4.8884 6918
19.1%
4.91744 5367
14.8%
4.87872 3783
10.4%
4.86904 2053
 
5.7%
4.92712 1703
 
4.7%
4.85936 461
 
1.3%
4.84968 169
 
0.5%
4.9368 2
 
< 0.1%
ValueCountFrequency (%)
4.83032 2
 
< 0.1%
4.84968 169
 
0.5%
4.85936 461
 
1.3%
4.86904 2053
5.7%
4.87872 3783
10.4%
ValueCountFrequency (%)
4.9368 2
 
< 0.1%
4.92712 1703
 
4.7%
4.91744 5367
14.8%
4.90776 8280
22.8%
4.89808 7576
20.9%

CNKJBOO
Real number (ℝ)

SKEWED 

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.041115052
Minimum1.94
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:25.695720image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.94
5-th percentile3.024
Q13.036
median3.04
Q33.048
95-th percentile3.056
Maximum3.068
Range1.128
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.01047937196
Coefficient of variation (CV)0.003445897895
Kurtosis3356.038818
Mean3.041115052
Median Absolute Deviation (MAD)0.004
Skewness-32.2138894
Sum110435.052
Variance0.0001098172366
MonotonicityNot monotonic
2024-08-10T10:48:25.925729image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3.04 8434
23.2%
3.044 7375
20.3%
3.048 4697
12.9%
3.032 3881
10.7%
3.036 3349
 
9.2%
3.052 3102
 
8.5%
3.056 1868
 
5.1%
3.024 1157
 
3.2%
3.028 897
 
2.5%
3.02 650
 
1.8%
Other values (7) 904
 
2.5%
ValueCountFrequency (%)
1.94 1
 
< 0.1%
3.008 3
 
< 0.1%
3.012 3
 
< 0.1%
3.016 552
1.5%
3.02 650
1.8%
ValueCountFrequency (%)
3.068 64
 
0.2%
3.064 35
 
0.1%
3.06 246
 
0.7%
3.056 1868
5.1%
3.052 3102
8.5%

NDWFVEZ
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.495159112
Minimum2.48
Maximum2.508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:26.169199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.48
5-th percentile2.488
Q12.492
median2.496
Q32.5
95-th percentile2.504
Maximum2.508
Range0.028
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.004428668436
Coefficient of variation (CV)0.001774904219
Kurtosis0.2339235421
Mean2.495159112
Median Absolute Deviation (MAD)0.004
Skewness-0.02925469553
Sum90609.208
Variance1.961310412 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:26.392078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2.492 12586
34.7%
2.496 11534
31.8%
2.5 7364
20.3%
2.504 1849
 
5.1%
2.488 1666
 
4.6%
2.484 1075
 
3.0%
2.508 201
 
0.6%
2.48 39
 
0.1%
ValueCountFrequency (%)
2.48 39
 
0.1%
2.484 1075
 
3.0%
2.488 1666
 
4.6%
2.492 12586
34.7%
2.496 11534
31.8%
ValueCountFrequency (%)
2.508 201
 
0.6%
2.504 1849
 
5.1%
2.5 7364
20.3%
2.496 11534
31.8%
2.492 12586
34.7%

HSCCVTR
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9261227075
Minimum0.908
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:26.611386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.908
5-th percentile0.916
Q10.924
median0.928
Q30.932
95-th percentile0.936
Maximum0.944
Range0.036
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.006053518953
Coefficient of variation (CV)0.006536411324
Kurtosis-0.4797309556
Mean0.9261227075
Median Absolute Deviation (MAD)0.004
Skewness-0.0639495318
Sum33631.22
Variance3.664509171 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:26.831895image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.928 9113
25.1%
0.924 8949
24.6%
0.932 5777
15.9%
0.92 4689
12.9%
0.916 3460
 
9.5%
0.936 3264
 
9.0%
0.912 546
 
1.5%
0.94 503
 
1.4%
0.944 11
 
< 0.1%
0.908 2
 
< 0.1%
ValueCountFrequency (%)
0.908 2
 
< 0.1%
0.912 546
 
1.5%
0.916 3460
 
9.5%
0.92 4689
12.9%
0.924 8949
24.6%
ValueCountFrequency (%)
0.944 11
 
< 0.1%
0.94 503
 
1.4%
0.936 3264
 
9.0%
0.932 5777
15.9%
0.928 9113
25.1%

VKTZZSI
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.32923787
Minimum3.304
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:27.073109image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.324
median3.328
Q33.336
95-th percentile3.344
Maximum3.352
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007830895378
Coefficient of variation (CV)0.002352158567
Kurtosis-0.1861741757
Mean3.32923787
Median Absolute Deviation (MAD)0.004
Skewness-0.0960522152
Sum120897.944
Variance6.132292241 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:27.334055image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.332 7502
20.7%
3.328 6314
17.4%
3.324 5742
15.8%
3.336 5526
15.2%
3.32 4522
12.5%
3.34 2565
 
7.1%
3.344 1460
 
4.0%
3.312 996
 
2.7%
3.316 971
 
2.7%
3.348 425
 
1.2%
Other values (3) 291
 
0.8%
ValueCountFrequency (%)
3.304 3
 
< 0.1%
3.308 273
 
0.8%
3.312 996
 
2.7%
3.316 971
 
2.7%
3.32 4522
12.5%
ValueCountFrequency (%)
3.352 15
 
< 0.1%
3.348 425
 
1.2%
3.344 1460
 
4.0%
3.34 2565
7.1%
3.336 5526
15.2%

VMHLOFU
Real number (ℝ)

Distinct30
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.89195627
Minimum22
Maximum36.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:27.577238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile24.5
Q126
median28
Q329.5
95-th percentile31.5
Maximum36.5
Range14.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.21623417
Coefficient of variation (CV)0.07945782463
Kurtosis-0.4606028846
Mean27.89195627
Median Absolute Deviation (MAD)1.5
Skewness0.003990837528
Sum1012868.5
Variance4.911693895
MonotonicityNot monotonic
2024-08-10T10:48:27.821326image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
28.5 4028
11.1%
28 3584
 
9.9%
29 3296
 
9.1%
29.5 2872
 
7.9%
27.5 2562
 
7.1%
30 2149
 
5.9%
25.5 2077
 
5.7%
25 1990
 
5.5%
27 1899
 
5.2%
26 1870
 
5.1%
Other values (20) 9987
27.5%
ValueCountFrequency (%)
22 3
 
< 0.1%
22.5 17
 
< 0.1%
23 151
 
0.4%
23.5 506
1.4%
24 1105
3.0%
ValueCountFrequency (%)
36.5 3
 
< 0.1%
36 3
 
< 0.1%
35.5 10
 
< 0.1%
35 26
0.1%
34.5 23
0.1%

NIMFVWU
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.308493092
Minimum3.27352
Maximum3.34656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:28.094920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.27352
5-th percentile3.28016
Q13.30008
median3.30672
Q33.32
95-th percentile3.33328
Maximum3.34656
Range0.07304
Interquartile range (IQR)0.01992

Descriptive statistics

Standard deviation0.01511086677
Coefficient of variation (CV)0.004567295849
Kurtosis-0.4877292701
Mean3.308493092
Median Absolute Deviation (MAD)0.00664
Skewness0.01461484919
Sum120144.6182
Variance0.0002283382945
MonotonicityNot monotonic
2024-08-10T10:48:28.344595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.30672 7665
21.1%
3.31336 6142
16.9%
3.30008 4975
13.7%
3.32664 4242
11.7%
3.32 2802
 
7.7%
3.29344 2629
 
7.2%
3.2868 2500
 
6.9%
3.28016 2449
 
6.7%
3.33328 1928
 
5.3%
3.33992 740
 
2.0%
Other values (2) 242
 
0.7%
ValueCountFrequency (%)
3.27352 10
 
< 0.1%
3.28016 2449
6.7%
3.2868 2500
6.9%
3.29344 2629
7.2%
3.30008 4975
13.7%
ValueCountFrequency (%)
3.34656 232
 
0.6%
3.33992 740
 
2.0%
3.33328 1928
5.3%
3.32664 4242
11.7%
3.32 2802
7.7%

BBVLSAK
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean678.0614088
Minimum19
Maximum3027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:28.573559image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median1003
Q31003
95-th percentile1003
Maximum3027
Range3008
Interquartile range (IQR)984

Descriptive statistics

Standard deviation522.6303
Coefficient of variation (CV)0.770771339
Kurtosis1.936704518
Mean678.0614088
Median Absolute Deviation (MAD)0
Skewness0.3319462268
Sum24623122
Variance273142.4305
MonotonicityNot monotonic
2024-08-10T10:48:28.757533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1003 23245
64.0%
19 12577
34.6%
3027 352
 
1.0%
28 140
 
0.4%
ValueCountFrequency (%)
19 12577
34.6%
28 140
 
0.4%
1003 23245
64.0%
3027 352
 
1.0%
ValueCountFrequency (%)
3027 352
 
1.0%
1003 23245
64.0%
28 140
 
0.4%
19 12577
34.6%

NRZNVUW
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.4441262
Minimum140
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:28.963476image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile150
Q1150
median150
Q3160
95-th percentile160
Maximum160
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.792224481
Coefficient of variation (CV)0.03123107152
Kurtosis-1.493637876
Mean153.4441262
Median Absolute Deviation (MAD)0
Skewness0.6022694346
Sum5572170
Variance22.96541547
MonotonicityNot monotonic
2024-08-10T10:48:29.182187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
150 23667
65.2%
160 12577
34.6%
140 70
 
0.2%
ValueCountFrequency (%)
140 70
 
0.2%
150 23667
65.2%
160 12577
34.6%
ValueCountFrequency (%)
160 12577
34.6%
150 23667
65.2%
140 70
 
0.2%

FJXWXPI
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum47
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:29.439369image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile47
Q147
median47
Q347
95-th percentile47
Maximum47
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean47
Median Absolute Deviation (MAD)0
Skewness0
Sum1706758
Variance0
MonotonicityIncreasing
2024-08-10T10:48:29.636651image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
47 36314
100.0%
ValueCountFrequency (%)
47 36314
100.0%
ValueCountFrequency (%)
47 36314
100.0%

YZRVJSE
Real number (ℝ)

Distinct6930
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3333.264443
Minimum0
Maximum7000
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:29.885268image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile263
Q11539
median3202
Q35139
95-th percentile6628
Maximum7000
Range7000
Interquartile range (IQR)3600

Descriptive statistics

Standard deviation2052.777556
Coefficient of variation (CV)0.6158459946
Kurtosis-1.230956144
Mean3333.264443
Median Absolute Deviation (MAD)1775
Skewness0.1099007558
Sum121044165
Variance4213895.696
MonotonicityNot monotonic
2024-08-10T10:48:30.187530image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1846 17
 
< 0.1%
1332 17
 
< 0.1%
75 16
 
< 0.1%
1891 16
 
< 0.1%
357 16
 
< 0.1%
6739 16
 
< 0.1%
102 16
 
< 0.1%
1744 16
 
< 0.1%
4186 16
 
< 0.1%
6641 16
 
< 0.1%
Other values (6920) 36152
99.6%
ValueCountFrequency (%)
0 5
< 0.1%
1 2
 
< 0.1%
2 8
< 0.1%
3 5
< 0.1%
4 4
< 0.1%
ValueCountFrequency (%)
7000 8
< 0.1%
6999 8
< 0.1%
6998 3
 
< 0.1%
6997 5
< 0.1%
6996 8
< 0.1%

KKMOSNN
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean14.56814093
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:30.485159image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q115
median15
Q315
95-th percentile15
Maximum80
Range79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.909586146
Coefficient of variation (CV)0.1310796041
Kurtosis56.70427041
Mean14.56814093
Median Absolute Deviation (MAD)0
Skewness-0.9404693886
Sum429192
Variance3.646519249
MonotonicityNot monotonic
2024-08-10T10:48:30.733183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
15 27296
75.2%
8 1816
 
5.0%
24 126
 
0.3%
10 60
 
0.2%
14 35
 
0.1%
6 28
 
0.1%
7 21
 
0.1%
12 17
 
< 0.1%
9 16
 
< 0.1%
13 13
 
< 0.1%
Other values (8) 33
 
0.1%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 3
 
< 0.1%
3 6
< 0.1%
4 9
< 0.1%
5 6
< 0.1%
ValueCountFrequency (%)
80 1
 
< 0.1%
26 2
 
< 0.1%
24 126
 
0.3%
15 27296
75.2%
14 35
 
0.1%

KYJTYYF
Real number (ℝ)

MISSING 

Distinct4306
Distinct (%)14.6%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean1535.969247
Minimum0
Maximum5587
Zeros12
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:31.016072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile122
Q1656
median1396
Q32273
95-th percentile3468
Maximum5587
Range5587
Interquartile range (IQR)1617

Descriptive statistics

Standard deviation1068.970066
Coefficient of variation (CV)0.6959579873
Kurtosis0.2668049068
Mean1535.969247
Median Absolute Deviation (MAD)797
Skewness0.7296722896
Sum45251190
Variance1142697.002
MonotonicityNot monotonic
2024-08-10T10:48:31.298892image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 59
 
0.2%
259 22
 
0.1%
1047 22
 
0.1%
223 21
 
0.1%
1936 21
 
0.1%
727 21
 
0.1%
241 20
 
0.1%
258 20
 
0.1%
1866 20
 
0.1%
880 20
 
0.1%
Other values (4296) 29215
80.5%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
0 12
< 0.1%
1 12
< 0.1%
2 10
< 0.1%
3 17
< 0.1%
4 10
< 0.1%
ValueCountFrequency (%)
5587 1
< 0.1%
5583 1
< 0.1%
5576 1
< 0.1%
5561 1
< 0.1%
5521 1
< 0.1%

QDZIZBN
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean6.778147381
Minimum0
Maximum15
Zeros2042
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:31.573201image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q311
95-th percentile14
Maximum15
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.318607694
Coefficient of variation (CV)0.6371368828
Kurtosis-1.197671132
Mean6.778147381
Median Absolute Deviation (MAD)4
Skewness0.08334621549
Sum199691
Variance18.65037241
MonotonicityNot monotonic
2024-08-10T10:48:31.791955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 2148
 
5.9%
1 2100
 
5.8%
5 2076
 
5.7%
3 2064
 
5.7%
4 2058
 
5.7%
6 2046
 
5.6%
0 2042
 
5.6%
7 2031
 
5.6%
10 1881
 
5.2%
8 1867
 
5.1%
Other values (6) 9148
25.2%
(Missing) 6853
18.9%
ValueCountFrequency (%)
0 2042
5.6%
1 2100
5.8%
2 2148
5.9%
3 2064
5.7%
4 2058
5.7%
ValueCountFrequency (%)
15 53
 
0.1%
14 1815
5.0%
13 1837
5.1%
12 1845
5.1%
11 1822
5.0%

YRLOEIR
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean3065.614813
Minimum50
Maximum5600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:32.050792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile1200
Q13000
median3000
Q33000
95-th percentile5000
Maximum5600
Range5550
Interquartile range (IQR)0

Descriptive statistics

Standard deviation915.6170576
Coefficient of variation (CV)0.2986732233
Kurtosis1.310462984
Mean3065.614813
Median Absolute Deviation (MAD)0
Skewness0.07451526481
Sum90316078
Variance838354.5962
MonotonicityNot monotonic
2024-08-10T10:48:32.271507image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3000 16297
44.9%
2000 2846
 
7.8%
4000 2779
 
7.7%
5000 1885
 
5.2%
3932 1489
 
4.1%
1000 970
 
2.7%
2922 580
 
1.6%
2600 572
 
1.6%
2500 511
 
1.4%
5600 381
 
1.0%
Other values (9) 1151
 
3.2%
(Missing) 6853
18.9%
ValueCountFrequency (%)
50 16
 
< 0.1%
70 88
 
0.2%
80 3
 
< 0.1%
100 49
 
0.1%
915 296
0.8%
ValueCountFrequency (%)
5600 381
 
1.0%
5000 1885
 
5.2%
4000 2779
 
7.7%
3932 1489
 
4.1%
3000 16297
44.9%

RQVRYXC
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:32.513006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:48:32.781786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

EULURHL
Real number (ℝ)

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2121.576802
Minimum2099
Maximum2127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:33.190847image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2099
5-th percentile2116
Q12119
median2122
Q32124
95-th percentile2126
Maximum2127
Range28
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.34048228
Coefficient of variation (CV)0.001574528094
Kurtosis0.4163404131
Mean2121.576802
Median Absolute Deviation (MAD)2
Skewness-0.5241812296
Sum77042940
Variance11.15882186
MonotonicityNot monotonic
2024-08-10T10:48:33.563251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2122 4924
13.6%
2124 4762
13.1%
2126 4337
11.9%
2116 4163
11.5%
2123 3858
10.6%
2120 3739
10.3%
2121 2890
8.0%
2118 2779
7.7%
2119 1392
 
3.8%
2125 1308
 
3.6%
Other values (11) 2162
6.0%
ValueCountFrequency (%)
2099 2
 
< 0.1%
2101 2
 
< 0.1%
2102 6
 
< 0.1%
2104 33
0.1%
2106 14
< 0.1%
ValueCountFrequency (%)
2127 1289
 
3.5%
2126 4337
11.9%
2125 1308
 
3.6%
2124 4762
13.1%
2123 3858
10.6%

WCZJBOX
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.067990307
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:33.982726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2927977252
Coefficient of variation (CV)0.2741576617
Kurtosis32.95660811
Mean1.067990307
Median Absolute Deviation (MAD)0
Skewness5.159368758
Sum38783
Variance0.08573050788
MonotonicityNot monotonic
2024-08-10T10:48:34.330188image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 34183
94.1%
2 1855
 
5.1%
3 220
 
0.6%
4 50
 
0.1%
5 6
 
< 0.1%
ValueCountFrequency (%)
1 34183
94.1%
2 1855
 
5.1%
3 220
 
0.6%
4 50
 
0.1%
5 6
 
< 0.1%
ValueCountFrequency (%)
5 6
 
< 0.1%
4 50
 
0.1%
3 220
 
0.6%
2 1855
 
5.1%
1 34183
94.1%

WMZGUWK
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:34.833669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:48:35.262651image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

DMAJOKS
Real number (ℝ)

Distinct250
Distinct (%)0.7%
Missing191
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean111.5533317
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:35.727883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q150
median105
Q3170
95-th percentile231
Maximum250
Range249
Interquartile range (IQR)120

Descriptive statistics

Standard deviation70.62530356
Coefficient of variation (CV)0.6331079718
Kurtosis-1.115407972
Mean111.5533317
Median Absolute Deviation (MAD)59
Skewness0.2229887383
Sum4029641
Variance4987.933503
MonotonicityNot monotonic
2024-08-10T10:48:36.301861image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 212
 
0.6%
20 209
 
0.6%
28 209
 
0.6%
52 208
 
0.6%
11 205
 
0.6%
7 202
 
0.6%
2 202
 
0.6%
3 200
 
0.6%
4 199
 
0.5%
53 198
 
0.5%
Other values (240) 34079
93.8%
ValueCountFrequency (%)
1 195
0.5%
2 202
0.6%
3 200
0.6%
4 199
0.5%
5 189
0.5%
ValueCountFrequency (%)
250 89
0.2%
249 89
0.2%
248 91
0.3%
247 98
0.3%
246 77
0.2%

KCFQOSD
Real number (ℝ)

Distinct250
Distinct (%)0.7%
Missing191
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean111.1618913
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:36.803867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q149
median105
Q3169
95-th percentile232
Maximum250
Range249
Interquartile range (IQR)120

Descriptive statistics

Standard deviation70.56266685
Coefficient of variation (CV)0.6347738961
Kurtosis-1.105352285
Mean111.1618913
Median Absolute Deviation (MAD)59
Skewness0.2269920738
Sum4015501
Variance4979.089952
MonotonicityNot monotonic
2024-08-10T10:48:37.376972image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 205
 
0.6%
17 204
 
0.6%
23 204
 
0.6%
1 203
 
0.6%
3 203
 
0.6%
4 203
 
0.6%
20 202
 
0.6%
8 201
 
0.6%
10 201
 
0.6%
12 200
 
0.6%
Other values (240) 34097
93.9%
ValueCountFrequency (%)
1 203
0.6%
2 205
0.6%
3 203
0.6%
4 203
0.6%
5 184
0.5%
ValueCountFrequency (%)
250 88
0.2%
249 85
0.2%
248 107
0.3%
247 94
0.3%
246 71
0.2%

EDQZDFY
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.063367482
Minimum0
Maximum5
Zeros10016
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:37.796340image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8674860542
Coefficient of variation (CV)0.8157914071
Kurtosis0.0873531908
Mean1.063367482
Median Absolute Deviation (MAD)1
Skewness0.5918754566
Sum38613
Variance0.7525320543
MonotonicityNot monotonic
2024-08-10T10:48:38.025496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 16307
44.9%
0 10016
27.6%
2 7890
21.7%
3 1882
 
5.2%
4 205
 
0.6%
5 12
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 10016
27.6%
1 16307
44.9%
2 7890
21.7%
3 1882
 
5.2%
4 205
 
0.6%
ValueCountFrequency (%)
5 12
 
< 0.1%
4 205
 
0.6%
3 1882
 
5.2%
2 7890
21.7%
1 16307
44.9%

GJJABFU
Real number (ℝ)

Distinct1206
Distinct (%)3.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean40.27822408
Minimum35.57097966
Maximum44.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:38.305935image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum35.57097966
5-th percentile38.28096159
Q139.36654414
median40.25005503
Q341.1875
95-th percentile42.46603216
Maximum44.5
Range8.929020343
Interquartile range (IQR)1.820955862

Descriptive statistics

Standard deviation1.247346343
Coefficient of variation (CV)0.03096825571
Kurtosis-0.4343071479
Mean40.27822408
Median Absolute Deviation (MAD)0.8904382685
Skewness0.03864151069
Sum1462582.873
Variance1.555872899
MonotonicityNot monotonic
2024-08-10T10:48:38.592016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.625 763
 
2.1%
41.8125 608
 
1.7%
41.75 552
 
1.5%
41.125 461
 
1.3%
41.0625 442
 
1.2%
41.1875 429
 
1.2%
41.3125 408
 
1.1%
41.25 389
 
1.1%
41.375 370
 
1.0%
41.875 353
 
1.0%
Other values (1196) 31537
86.8%
ValueCountFrequency (%)
35.57097966 1
< 0.1%
35.62237762 2
< 0.1%
35.71472595 1
< 0.1%
35.85795111 2
< 0.1%
35.88932328 2
< 0.1%
ValueCountFrequency (%)
44.5 1
 
< 0.1%
44.25 3
< 0.1%
44.1875 2
< 0.1%
44.125 4
< 0.1%
43.9375 2
< 0.1%

CEIXACS
Real number (ℝ)

Distinct10164
Distinct (%)28.0%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.368017924
Minimum0.04261450708
Maximum6.1875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:38.892649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.04261450708
5-th percentile1.775067577
Q12.6875
median3.424293692
Q34.073175292
95-th percentile4.8125
Maximum6.1875
Range6.144885493
Interquartile range (IQR)1.385675292

Descriptive statistics

Standard deviation0.9343451794
Coefficient of variation (CV)0.2774169261
Kurtosis-0.5165303793
Mean3.368017924
Median Absolute Deviation (MAD)0.7007063079
Skewness-0.1898744167
Sum122299.4669
Variance0.8730009142
MonotonicityNot monotonic
2024-08-10T10:48:39.197915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3125 634
 
1.7%
4.125 598
 
1.6%
4.0625 597
 
1.6%
4.25 593
 
1.6%
3.9375 582
 
1.6%
4.1875 565
 
1.6%
4.375 533
 
1.5%
3.875 516
 
1.4%
4.625 503
 
1.4%
4.4375 498
 
1.4%
Other values (10154) 30693
84.5%
ValueCountFrequency (%)
0.04261450708 1
< 0.1%
0.1756259966 1
< 0.1%
0.2659790421 1
< 0.1%
0.2663004669 1
< 0.1%
0.3096275729 1
< 0.1%
ValueCountFrequency (%)
6.1875 1
< 0.1%
6.125 2
< 0.1%
6.0625 1
< 0.1%
6 1
< 0.1%
5.9375 2
< 0.1%

FNCZPLL
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.331137916
Minimum3.304
Maximum3.356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:39.456226image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.324
median3.332
Q33.336
95-th percentile3.348
Maximum3.356
Range0.052
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008174229341
Coefficient of variation (CV)0.002453884993
Kurtosis-0.235626185
Mean3.331137916
Median Absolute Deviation (MAD)0.004
Skewness0.2510625915
Sum120960.28
Variance6.681802532 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:39.696801image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.336 7381
20.3%
3.328 6939
19.1%
3.332 6469
17.8%
3.324 4897
13.5%
3.32 2960
8.2%
3.348 1892
 
5.2%
3.344 1878
 
5.2%
3.316 1820
 
5.0%
3.34 1716
 
4.7%
3.352 232
 
0.6%
Other values (4) 128
 
0.4%
ValueCountFrequency (%)
3.304 2
 
< 0.1%
3.308 3
 
< 0.1%
3.312 74
 
0.2%
3.316 1820
5.0%
3.32 2960
8.2%
ValueCountFrequency (%)
3.356 49
 
0.1%
3.352 232
 
0.6%
3.348 1892
5.2%
3.344 1878
5.2%
3.34 1716
4.7%

MGHHIOF
Real number (ℝ)

Distinct24
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.196176746
Minimum0.08
Maximum0.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:39.935399image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.15
Q10.19
median0.2
Q30.21
95-th percentile0.23
Maximum0.31
Range0.23
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.02543029361
Coefficient of variation (CV)0.1296295006
Kurtosis2.990655537
Mean0.196176746
Median Absolute Deviation (MAD)0.01
Skewness-0.5794642198
Sum7123.57
Variance0.0006466998332
MonotonicityNot monotonic
2024-08-10T10:48:40.215025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.2 7749
21.3%
0.19 7133
19.6%
0.21 6268
17.3%
0.18 4504
12.4%
0.22 3314
9.1%
0.17 1994
 
5.5%
0.23 1456
 
4.0%
0.16 630
 
1.7%
0.24 517
 
1.4%
0.13 511
 
1.4%
Other values (14) 2236
 
6.2%
ValueCountFrequency (%)
0.08 16
 
< 0.1%
0.09 23
 
0.1%
0.1 98
 
0.3%
0.11 268
0.7%
0.12 463
1.3%
ValueCountFrequency (%)
0.31 9
 
< 0.1%
0.3 9
 
< 0.1%
0.29 67
 
0.2%
0.28 123
0.3%
0.27 191
0.5%

MNNVQLZ
Real number (ℝ)

Distinct25
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean39.26652346
Minimum14
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:40.464461image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30
Q136
median40
Q342
95-th percentile46
Maximum62
Range48
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.070613667
Coefficient of variation (CV)0.1291332469
Kurtosis2.853921536
Mean39.26652346
Median Absolute Deviation (MAD)2
Skewness-0.5885334786
Sum1425846
Variance25.71112296
MonotonicityNot monotonic
2024-08-10T10:48:40.706697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
40 7789
21.4%
38 6819
18.8%
42 6236
17.2%
36 4611
12.7%
44 3549
9.8%
34 1967
 
5.4%
46 1500
 
4.1%
32 613
 
1.7%
26 487
 
1.3%
24 429
 
1.2%
Other values (15) 2312
 
6.4%
ValueCountFrequency (%)
14 2
 
< 0.1%
16 3
 
< 0.1%
18 23
 
0.1%
20 100
 
0.3%
22 281
0.8%
ValueCountFrequency (%)
62 6
 
< 0.1%
60 9
 
< 0.1%
58 49
 
0.1%
56 118
0.3%
54 210
0.6%

YWVSPKM
Real number (ℝ)

Distinct207
Distinct (%)0.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1306771284
Minimum0.053184
Maximum0.206584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:40.987758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.053184
5-th percentile0.10008
Q10.120528
median0.13296
Q30.139944
95-th percentile0.153272
Maximum0.206584
Range0.1534
Interquartile range (IQR)0.019416

Descriptive statistics

Standard deviation0.01682122657
Coefficient of variation (CV)0.1287235706
Kurtosis2.835069416
Mean0.1306771284
Median Absolute Deviation (MAD)0.006984
Skewness-0.531388019
Sum4745.147888
Variance0.0002829536633
MonotonicityNot monotonic
2024-08-10T10:48:41.306108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.13312 1695
 
4.7%
0.126464 1596
 
4.4%
0.13344 1504
 
4.1%
0.126768 1502
 
4.1%
0.126616 1345
 
3.7%
0.13328 1217
 
3.4%
0.139776 1209
 
3.3%
0.120096 1092
 
3.0%
0.140112 1070
 
2.9%
0.13296 1043
 
2.9%
Other values (197) 23039
63.4%
ValueCountFrequency (%)
0.053184 2
 
< 0.1%
0.053376 2
 
< 0.1%
0.05344 2
 
< 0.1%
0.05976 3
 
< 0.1%
0.059832 11
< 0.1%
ValueCountFrequency (%)
0.206584 2
 
< 0.1%
0.2004 1
 
< 0.1%
0.20016 3
 
< 0.1%
0.19992 9
< 0.1%
0.19968 2
 
< 0.1%

UZIGIGC
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.326527429
Minimum3.304
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:41.570638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.312
Q13.32
median3.328
Q33.332
95-th percentile3.344
Maximum3.352
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008293922233
Coefficient of variation (CV)0.002493267352
Kurtosis-0.263918178
Mean3.326527429
Median Absolute Deviation (MAD)0.004
Skewness0.2690043707
Sum120792.864
Variance6.878914601 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:41.804416image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.332 6787
18.7%
3.324 6481
17.8%
3.328 6450
17.8%
3.32 5959
16.4%
3.316 2727
7.5%
3.312 2410
 
6.6%
3.34 1916
 
5.3%
3.344 1730
 
4.8%
3.336 1470
 
4.0%
3.348 193
 
0.5%
Other values (3) 189
 
0.5%
ValueCountFrequency (%)
3.304 3
 
< 0.1%
3.308 146
 
0.4%
3.312 2410
6.6%
3.316 2727
7.5%
3.32 5959
16.4%
ValueCountFrequency (%)
3.352 40
 
0.1%
3.348 193
 
0.5%
3.344 1730
4.8%
3.34 1916
5.3%
3.336 1470
4.0%

HFYZKSZ
Real number (ℝ)

Distinct74
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.449145186
Minimum1
Maximum1.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:42.086064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.27
Q11.34
median1.42
Q31.56
95-th percentile1.68
Maximum1.94
Range0.94
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.1326817707
Coefficient of variation (CV)0.09155864572
Kurtosis-0.8650890062
Mean1.449145186
Median Absolute Deviation (MAD)0.1
Skewness0.4195222741
Sum52621.36
Variance0.01760445228
MonotonicityNot monotonic
2024-08-10T10:48:42.406727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.35 1290
 
3.6%
1.32 1266
 
3.5%
1.31 1248
 
3.4%
1.33 1242
 
3.4%
1.34 1240
 
3.4%
1.37 1233
 
3.4%
1.36 1204
 
3.3%
1.3 1163
 
3.2%
1.38 1064
 
2.9%
1.39 1063
 
2.9%
Other values (64) 24299
66.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
1.15 2
 
< 0.1%
1.16 1
 
< 0.1%
1.17 4
< 0.1%
1.18 7
< 0.1%
ValueCountFrequency (%)
1.94 1
 
< 0.1%
1.86 1
 
< 0.1%
1.85 3
< 0.1%
1.84 2
< 0.1%
1.83 1
 
< 0.1%

DTJITAO
Real number (ℝ)

Distinct72
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean289.8032056
Minimum202
Maximum384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:42.694666image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum202
5-th percentile254
Q1268
median284
Q3312
95-th percentile336
Maximum384
Range182
Interquartile range (IQR)44

Descriptive statistics

Standard deviation26.53829429
Coefficient of variation (CV)0.09157350154
Kurtosis-0.8636402405
Mean289.8032056
Median Absolute Deviation (MAD)20
Skewness0.4189113269
Sum10523334
Variance704.2810638
MonotonicityNot monotonic
2024-08-10T10:48:43.007178image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268 1318
 
3.6%
272 1293
 
3.6%
264 1284
 
3.5%
270 1252
 
3.4%
266 1248
 
3.4%
262 1205
 
3.3%
274 1157
 
3.2%
260 1145
 
3.2%
276 1093
 
3.0%
278 1080
 
3.0%
Other values (62) 24237
66.7%
ValueCountFrequency (%)
202 1
 
< 0.1%
232 2
 
< 0.1%
234 5
< 0.1%
236 4
< 0.1%
238 8
< 0.1%
ValueCountFrequency (%)
384 1
 
< 0.1%
370 1
 
< 0.1%
368 5
< 0.1%
366 4
 
< 0.1%
364 12
< 0.1%

TPUASCQ
Real number (ℝ)

Distinct665
Distinct (%)1.8%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9639967438
Minimum0.682176
Maximum1.292816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:43.317121image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.682176
5-th percentile0.846328
Q10.890832
median0.946288
Q31.03584
95-th percentile1.118208
Maximum1.292816
Range0.61064
Interquartile range (IQR)0.145008

Descriptive statistics

Standard deviation0.0881194339
Coefficient of variation (CV)0.09141050991
Kurtosis-0.8647284272
Mean0.9639967438
Median Absolute Deviation (MAD)0.067696
Skewness0.4179187564
Sum35004.64976
Variance0.00776503463
MonotonicityNot monotonic
2024-08-10T10:48:43.617943image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.870888 292
 
0.8%
0.877536 283
 
0.8%
0.89964 278
 
0.8%
0.879648 276
 
0.8%
0.86424 271
 
0.7%
0.884184 269
 
0.7%
0.872984 267
 
0.7%
0.892976 263
 
0.7%
0.910776 256
 
0.7%
0.89748 253
 
0.7%
Other values (655) 33604
92.5%
ValueCountFrequency (%)
0.682176 1
< 0.1%
0.76268 1
< 0.1%
0.77024 1
< 0.1%
0.777816 1
< 0.1%
0.782576 1
< 0.1%
ValueCountFrequency (%)
1.292816 1
< 0.1%
1.244672 1
< 0.1%
1.236528 1
< 0.1%
1.226176 1
< 0.1%
1.223232 1
< 0.1%

AHDJJHN
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.320287839
Minimum3.296
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:43.873365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.296
5-th percentile3.308
Q13.316
median3.32
Q33.324
95-th percentile3.336
Maximum3.348
Range0.052
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.008211813262
Coefficient of variation (CV)0.002473223305
Kurtosis-0.1951914438
Mean3.320287839
Median Absolute Deviation (MAD)0.004
Skewness0.2533800619
Sum120566.292
Variance6.743387705 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:44.159608image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.324 7304
20.1%
3.32 6689
18.4%
3.316 6588
18.1%
3.312 3914
10.8%
3.328 3406
9.4%
3.308 2962
8.2%
3.336 1808
 
5.0%
3.332 1742
 
4.8%
3.304 1132
 
3.1%
3.34 625
 
1.7%
Other values (4) 142
 
0.4%
ValueCountFrequency (%)
3.296 1
 
< 0.1%
3.3 9
 
< 0.1%
3.304 1132
 
3.1%
3.308 2962
8.2%
3.312 3914
10.8%
ValueCountFrequency (%)
3.348 3
 
< 0.1%
3.344 129
 
0.4%
3.34 625
 
1.7%
3.336 1808
5.0%
3.332 1742
4.8%

EJCYPQQ
Real number (ℝ)

Distinct66
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.148475711
Minimum2.84
Maximum3.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:44.429597image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.84
5-th percentile2.96
Q13.04
median3.13
Q33.25
95-th percentile3.37
Maximum3.49
Range0.65
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1307694777
Coefficient of variation (CV)0.04153421836
Kurtosis-0.887321604
Mean3.148475711
Median Absolute Deviation (MAD)0.1
Skewness0.2901738675
Sum114327.45
Variance0.01710065629
MonotonicityNot monotonic
2024-08-10T10:48:44.748147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.08 1120
 
3.1%
3.1 1058
 
2.9%
3.16 1046
 
2.9%
3.05 1024
 
2.8%
3.09 1023
 
2.8%
3.15 1006
 
2.8%
3.13 1003
 
2.8%
3.17 997
 
2.7%
3.12 991
 
2.7%
3.11 986
 
2.7%
Other values (56) 26058
71.8%
ValueCountFrequency (%)
2.84 1
 
< 0.1%
2.85 1
 
< 0.1%
2.86 5
 
< 0.1%
2.87 12
< 0.1%
2.88 20
0.1%
ValueCountFrequency (%)
3.49 6
 
< 0.1%
3.48 5
 
< 0.1%
3.47 19
0.1%
3.46 18
< 0.1%
3.45 40
0.1%

JWXNCNT
Real number (ℝ)

Distinct66
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean629.7062128
Minimum570
Maximum700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:45.066609image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum570
5-th percentile592
Q1608
median626
Q3650
95-th percentile674
Maximum700
Range130
Interquartile range (IQR)42

Descriptive statistics

Standard deviation26.16628667
Coefficient of variation (CV)0.0415531658
Kurtosis-0.8897036419
Mean629.7062128
Median Absolute Deviation (MAD)20
Skewness0.2875595316
Sum22865892
Variance684.6745581
MonotonicityNot monotonic
2024-08-10T10:48:45.382789image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
620 1110
 
3.1%
618 1089
 
3.0%
634 1049
 
2.9%
616 1041
 
2.9%
630 1036
 
2.9%
622 1030
 
2.8%
632 1001
 
2.8%
614 997
 
2.7%
626 991
 
2.7%
612 983
 
2.7%
Other values (56) 25985
71.6%
ValueCountFrequency (%)
570 2
 
< 0.1%
572 5
 
< 0.1%
574 14
< 0.1%
576 16
< 0.1%
578 34
0.1%
ValueCountFrequency (%)
700 1
 
< 0.1%
698 4
 
< 0.1%
696 4
 
< 0.1%
694 19
0.1%
692 23
0.1%

NQYIWSN
Real number (ℝ)

Distinct604
Distinct (%)1.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.090755673
Minimum1.883488
Maximum2.321856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:45.686134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.883488
5-th percentile1.964952
Q12.020992
median2.080824
Q32.156816
95-th percentile2.240112
Maximum2.321856
Range0.438368
Interquartile range (IQR)0.135824

Descriptive statistics

Standard deviation0.08689017839
Coefficient of variation (CV)0.04155922162
Kurtosis-0.8724141168
Mean2.090755673
Median Absolute Deviation (MAD)0.065352
Skewness0.2888470983
Sum75919.52002
Variance0.007549903101
MonotonicityNot monotonic
2024-08-10T10:48:45.978036image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9944 249
 
0.7%
1.987752 246
 
0.7%
1.99864 240
 
0.7%
2.034288 235
 
0.6%
2.014344 233
 
0.6%
2.00528 232
 
0.6%
2.062552 232
 
0.6%
2.082448 229
 
0.6%
2.042656 227
 
0.6%
2.069184 220
 
0.6%
Other values (594) 33969
93.5%
ValueCountFrequency (%)
1.883488 1
< 0.1%
1.89012 1
< 0.1%
1.89468 2
< 0.1%
1.89904 2
< 0.1%
1.901328 1
< 0.1%
ValueCountFrequency (%)
2.321856 1
 
< 0.1%
2.319072 1
 
< 0.1%
2.31736 3
< 0.1%
2.314568 2
< 0.1%
2.31072 3
< 0.1%

ALKYTAY
Real number (ℝ)

Distinct933
Distinct (%)2.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.27165433
Minimum25.147
Maximum40.786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:46.315670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum25.147
5-th percentile27
Q127.688
median28.245
Q328.815
95-th percentile29.61
Maximum40.786
Range15.639
Interquartile range (IQR)1.127

Descriptive statistics

Standard deviation0.7969504778
Coefficient of variation (CV)0.02818902879
Kurtosis1.464784179
Mean28.27165433
Median Absolute Deviation (MAD)0.557
Skewness0.221892381
Sum1026600.312
Variance0.635130064
MonotonicityNot monotonic
2024-08-10T10:48:46.611152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.688 700
 
1.9%
28.125 550
 
1.5%
28.063 548
 
1.5%
27.625 538
 
1.5%
28.438 529
 
1.5%
27.5 526
 
1.4%
27.938 526
 
1.4%
28 518
 
1.4%
27.813 513
 
1.4%
27.875 498
 
1.4%
Other values (923) 30866
85.0%
ValueCountFrequency (%)
25.147 1
 
< 0.1%
25.153 1
 
< 0.1%
25.264 3
< 0.1%
25.313 1
 
< 0.1%
25.351 2
< 0.1%
ValueCountFrequency (%)
40.786 1
< 0.1%
31.423 1
< 0.1%
31.214 1
< 0.1%
31.1 1
< 0.1%
31.08 1
< 0.1%

FWGTLEW
Real number (ℝ)

Distinct15
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.044928949
Minimum3.012
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:46.872482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.012
5-th percentile3.032
Q13.04
median3.044
Q33.052
95-th percentile3.064
Maximum3.068
Range0.056
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008575703585
Coefficient of variation (CV)0.002816388733
Kurtosis0.6634130211
Mean3.044928949
Median Absolute Deviation (MAD)0.004
Skewness-0.0980747512
Sum110567.46
Variance7.354269199 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:47.090268image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3.048 7830
21.6%
3.044 7675
21.1%
3.052 6543
18.0%
3.032 4966
13.7%
3.04 3264
9.0%
3.036 2776
 
7.6%
3.064 2024
 
5.6%
3.056 724
 
2.0%
3.012 200
 
0.6%
3.06 186
 
0.5%
Other values (5) 124
 
0.3%
ValueCountFrequency (%)
3.012 200
0.6%
3.016 2
 
< 0.1%
3.02 3
 
< 0.1%
3.024 17
 
< 0.1%
3.028 70
 
0.2%
ValueCountFrequency (%)
3.068 32
 
0.1%
3.064 2024
 
5.6%
3.06 186
 
0.5%
3.056 724
 
2.0%
3.052 6543
18.0%

VIACOPE
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.671983036
Minimum1.648
Maximum1.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:47.337658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.648
5-th percentile1.656
Q11.668
median1.672
Q31.676
95-th percentile1.684
Maximum1.7
Range0.052
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.008142146768
Coefficient of variation (CV)0.004869754413
Kurtosis-0.2733765481
Mean1.671983036
Median Absolute Deviation (MAD)0.004
Skewness-0.2839928219
Sum60713.048
Variance6.6294554 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:47.590976image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.676 7744
21.3%
1.672 7370
20.3%
1.668 4938
13.6%
1.68 4108
11.3%
1.664 3773
10.4%
1.684 2966
 
8.2%
1.656 2053
 
5.7%
1.66 1927
 
5.3%
1.688 771
 
2.1%
1.652 472
 
1.3%
Other values (4) 190
 
0.5%
ValueCountFrequency (%)
1.648 21
 
0.1%
1.652 472
 
1.3%
1.656 2053
5.7%
1.66 1927
5.3%
1.664 3773
10.4%
ValueCountFrequency (%)
1.7 1
 
< 0.1%
1.696 20
 
0.1%
1.692 148
 
0.4%
1.688 771
 
2.1%
1.684 2966
8.2%

TLOEEZC
Real number (ℝ)

Distinct18
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.17404715
Minimum22
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:47.922901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile25.5
Q126
median27
Q328
95-th percentile29
Maximum31
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.125610762
Coefficient of variation (CV)0.04142227163
Kurtosis-1.320200031
Mean27.17404715
Median Absolute Deviation (MAD)1
Skewness0.08452067401
Sum986744
Variance1.266999588
MonotonicityNot monotonic
2024-08-10T10:48:48.348920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
26 8657
23.8%
28 6532
18.0%
28.5 5930
16.3%
26.5 5266
14.5%
27.5 2814
 
7.7%
25.5 2495
 
6.9%
27 2116
 
5.8%
29 2031
 
5.6%
29.5 302
 
0.8%
25 128
 
0.4%
Other values (8) 41
 
0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
23 1
 
< 0.1%
23.5 8
< 0.1%
24 13
< 0.1%
24.5 4
 
< 0.1%
ValueCountFrequency (%)
31 1
 
< 0.1%
30.5 1
 
< 0.1%
30 12
 
< 0.1%
29.5 302
 
0.8%
29 2031
5.6%

RHSKKTW
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.04492267
Minimum3.012
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:48.653459image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.012
5-th percentile3.032
Q13.04
median3.044
Q33.052
95-th percentile3.064
Maximum3.068
Range0.056
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008577023634
Coefficient of variation (CV)0.002816828065
Kurtosis0.6621381496
Mean3.04492267
Median Absolute Deviation (MAD)0.004
Skewness-0.09521199568
Sum110567.232
Variance7.356533441 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:49.045496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.044 7754
21.4%
3.048 7736
21.3%
3.052 6562
18.1%
3.032 4951
13.6%
3.04 3247
8.9%
3.036 2799
 
7.7%
3.064 2018
 
5.6%
3.056 721
 
2.0%
3.012 200
 
0.6%
3.06 192
 
0.5%
Other values (4) 132
 
0.4%
ValueCountFrequency (%)
3.012 200
 
0.6%
3.02 7
 
< 0.1%
3.024 15
 
< 0.1%
3.028 75
 
0.2%
3.032 4951
13.6%
ValueCountFrequency (%)
3.068 35
 
0.1%
3.064 2018
 
5.6%
3.06 192
 
0.5%
3.056 721
 
2.0%
3.052 6562
18.1%

ZYMFJDH
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9236226041
Minimum0.904
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:49.418325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.904
5-th percentile0.912
Q10.92
median0.924
Q30.928
95-th percentile0.936
Maximum0.944
Range0.04
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.006752333812
Coefficient of variation (CV)0.00731070654
Kurtosis-0.6239834219
Mean0.9236226041
Median Absolute Deviation (MAD)0.004
Skewness-0.05989805283
Sum33538.584
Variance4.559401191 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:49.864407image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.928 7318
20.2%
0.924 7302
20.1%
0.92 6776
18.7%
0.916 5030
13.9%
0.932 4941
13.6%
0.912 2589
 
7.1%
0.936 1624
 
4.5%
0.908 478
 
1.3%
0.94 233
 
0.6%
0.944 19
 
0.1%
ValueCountFrequency (%)
0.904 2
 
< 0.1%
0.908 478
 
1.3%
0.912 2589
 
7.1%
0.916 5030
13.9%
0.92 6776
18.7%
ValueCountFrequency (%)
0.944 19
 
0.1%
0.94 233
 
0.6%
0.936 1624
 
4.5%
0.932 4941
13.6%
0.928 7318
20.2%

DDPBVDN
Real number (ℝ)

Distinct17
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.19481163
Minimum22
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:50.340415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile25.5
Q126
median27
Q328
95-th percentile29
Maximum31
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.12607407
Coefficient of variation (CV)0.04140768045
Kurtosis-1.322774188
Mean27.19481163
Median Absolute Deviation (MAD)1
Skewness0.08217351461
Sum987498
Variance1.268042811
MonotonicityNot monotonic
2024-08-10T10:48:50.762638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
26 8596
23.7%
28 6462
17.8%
28.5 6073
16.7%
26.5 5318
14.6%
27.5 2617
 
7.2%
27 2320
 
6.4%
25.5 2284
 
6.3%
29 2149
 
5.9%
29.5 336
 
0.9%
25 114
 
0.3%
Other values (7) 43
 
0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
23.5 7
 
< 0.1%
24 15
 
< 0.1%
24.5 4
 
< 0.1%
25 114
0.3%
ValueCountFrequency (%)
31 1
 
< 0.1%
30.5 1
 
< 0.1%
30 14
 
< 0.1%
29.5 336
 
0.9%
29 2149
5.9%

DITVBVV
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.327860212
Minimum3.304
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:51.222650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.324
median3.328
Q33.332
95-th percentile3.344
Maximum3.352
Range0.048
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.008242547511
Coefficient of variation (CV)0.002476831053
Kurtosis-0.2403689069
Mean3.327860212
Median Absolute Deviation (MAD)0.004
Skewness0.2539540644
Sum120841.26
Variance6.793958948 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:51.691735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.332 7260
20.0%
3.324 6898
19.0%
3.328 6383
17.6%
3.32 4275
11.8%
3.316 2983
8.2%
3.336 2830
 
7.8%
3.344 1946
 
5.4%
3.34 1779
 
4.9%
3.312 1388
 
3.8%
3.348 435
 
1.2%
Other values (3) 135
 
0.4%
ValueCountFrequency (%)
3.304 5
 
< 0.1%
3.308 26
 
0.1%
3.312 1388
 
3.8%
3.316 2983
8.2%
3.32 4275
11.8%
ValueCountFrequency (%)
3.352 104
 
0.3%
3.348 435
 
1.2%
3.344 1946
5.4%
3.34 1779
4.9%
3.336 2830
7.8%

PAIOUXI
Real number (ℝ)

Distinct29
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.072075072
Minimum0.95
Maximum1.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:52.167982image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.95
5-th percentile1.02
Q11.05
median1.07
Q31.09
95-th percentile1.13
Maximum1.23
Range0.28
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.03452528574
Coefficient of variation (CV)0.03220416803
Kurtosis0.6549120018
Mean1.072075072
Median Absolute Deviation (MAD)0.02
Skewness0.2869242675
Sum38929.19
Variance0.001191995356
MonotonicityNot monotonic
2024-08-10T10:48:52.629523image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.08 4481
12.3%
1.07 4266
11.7%
1.06 4012
11.0%
1.09 3754
10.3%
1.05 3451
9.5%
1.1 3057
8.4%
1.04 2942
8.1%
1.11 2175
6.0%
1.03 1967
5.4%
1.02 1345
 
3.7%
Other values (19) 4862
13.4%
ValueCountFrequency (%)
0.95 1
 
< 0.1%
0.96 16
 
< 0.1%
0.97 27
 
0.1%
0.98 99
0.3%
0.99 231
0.6%
ValueCountFrequency (%)
1.23 1
 
< 0.1%
1.22 8
 
< 0.1%
1.21 27
0.1%
1.2 51
0.1%
1.19 33
0.1%

TNUQMZC
Real number (ℝ)

Distinct29
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean214.4237718
Minimum190
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:52.950012image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum190
5-th percentile204
Q1210
median214
Q3218
95-th percentile226
Maximum246
Range56
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.901501139
Coefficient of variation (CV)0.03218626873
Kurtosis0.609891157
Mean214.4237718
Median Absolute Deviation (MAD)4
Skewness0.2954538346
Sum7786156
Variance47.63071797
MonotonicityNot monotonic
2024-08-10T10:48:53.214138image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
216 4378
12.1%
214 4181
11.5%
212 4058
11.2%
218 3617
10.0%
210 3551
9.8%
220 3150
8.7%
208 2956
8.1%
222 2191
6.0%
206 2048
5.6%
224 1359
 
3.7%
Other values (19) 4823
13.3%
ValueCountFrequency (%)
190 4
 
< 0.1%
192 8
 
< 0.1%
194 33
 
0.1%
196 97
0.3%
198 196
0.5%
ValueCountFrequency (%)
246 2
 
< 0.1%
244 6
 
< 0.1%
242 27
0.1%
240 55
0.2%
238 28
0.1%

KOJYJHO
Real number (ℝ)

Distinct236
Distinct (%)0.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.7136288782
Minimum0.622728
Maximum0.818688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:53.511314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.622728
5-th percentile0.678096
Q10.69804
median0.713048
Q30.72864
95-th percentile0.751224
Maximum0.818688
Range0.19596
Interquartile range (IQR)0.0306

Descriptive statistics

Standard deviation0.02301413714
Coefficient of variation (CV)0.03224944764
Kurtosis0.6239922213
Mean0.7136288782
Median Absolute Deviation (MAD)0.015008
Skewness0.2926419496
Sum25913.29182
Variance0.0005296505083
MonotonicityNot monotonic
2024-08-10T10:48:53.817106image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.706384 928
 
2.6%
0.69972 857
 
2.4%
0.717984 854
 
2.4%
0.711336 831
 
2.3%
0.704688 805
 
2.2%
0.713048 799
 
2.2%
0.719712 754
 
2.1%
0.693056 735
 
2.0%
0.712192 723
 
2.0%
0.718848 708
 
1.9%
Other values (226) 28318
78.0%
ValueCountFrequency (%)
0.622728 3
< 0.1%
0.6308 1
 
< 0.1%
0.638976 2
< 0.1%
0.640512 3
< 0.1%
0.642816 2
< 0.1%
ValueCountFrequency (%)
0.818688 3
 
< 0.1%
0.812032 4
 
< 0.1%
0.805376 29
0.1%
0.804408 5
 
< 0.1%
0.79968 2
 
< 0.1%

QALTYYP
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.314373651
Minimum3.196
Maximum3.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:54.117045image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.196
5-th percentile3.3
Q13.308
median3.316
Q33.32
95-th percentile3.328
Maximum3.34
Range0.144
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008345837658
Coefficient of variation (CV)0.002518073862
Kurtosis1.890952032
Mean3.314373651
Median Absolute Deviation (MAD)0.004
Skewness0.06773998191
Sum120351.536
Variance6.965300622 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:54.348078image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.316 6605
18.2%
3.32 6540
18.0%
3.312 6385
17.6%
3.308 5527
15.2%
3.304 3217
8.9%
3.3 2336
 
6.4%
3.328 2091
 
5.8%
3.324 1758
 
4.8%
3.332 1313
 
3.6%
3.296 256
 
0.7%
Other values (4) 284
 
0.8%
ValueCountFrequency (%)
3.196 2
 
< 0.1%
3.292 3
 
< 0.1%
3.296 256
 
0.7%
3.3 2336
6.4%
3.304 3217
8.9%
ValueCountFrequency (%)
3.34 52
 
0.1%
3.336 227
 
0.6%
3.332 1313
3.6%
3.328 2091
5.8%
3.324 1758
4.8%

LUYUPBB
Real number (ℝ)

Distinct144
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.762945583
Minimum4.14
Maximum5.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:54.648127image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.14
5-th percentile4.4
Q14.53
median4.66
Q35.05
95-th percentile5.25
Maximum5.67
Range1.53
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation0.2921243008
Coefficient of variation (CV)0.06133269753
Kurtosis-1.005994756
Mean4.762945583
Median Absolute Deviation (MAD)0.19
Skewness0.5316041336
Sum172952.08
Variance0.0853366071
MonotonicityNot monotonic
2024-08-10T10:48:54.945596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.63 738
 
2.0%
4.55 732
 
2.0%
4.56 715
 
2.0%
4.59 709
 
2.0%
4.6 705
 
1.9%
4.64 683
 
1.9%
4.61 683
 
1.9%
4.58 680
 
1.9%
4.54 675
 
1.9%
4.53 669
 
1.8%
Other values (134) 29323
80.7%
ValueCountFrequency (%)
4.14 1
 
< 0.1%
4.17 1
 
< 0.1%
4.18 2
< 0.1%
4.21 4
< 0.1%
4.22 3
< 0.1%
ValueCountFrequency (%)
5.67 2
< 0.1%
5.6 2
< 0.1%
5.59 2
< 0.1%
5.58 2
< 0.1%
5.57 4
< 0.1%

UZGUYFK
Real number (ℝ)

Distinct143
Distinct (%)0.4%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean952.61269
Minimum832
Maximum1128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:55.267299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum832
5-th percentile880
Q1906
median932
Q31010
95-th percentile1050
Maximum1128
Range296
Interquartile range (IQR)104

Descriptive statistics

Standard deviation58.46480079
Coefficient of variation (CV)0.06137310725
Kurtosis-1.005790232
Mean952.61269
Median Absolute Deviation (MAD)38
Skewness0.531411785
Sum34591272
Variance3418.132931
MonotonicityNot monotonic
2024-08-10T10:48:55.556785image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
920 774
 
2.1%
908 720
 
2.0%
930 710
 
2.0%
916 706
 
1.9%
926 698
 
1.9%
902 694
 
1.9%
918 684
 
1.9%
912 680
 
1.9%
910 678
 
1.9%
924 675
 
1.9%
Other values (133) 29293
80.7%
ValueCountFrequency (%)
832 1
 
< 0.1%
838 1
 
< 0.1%
840 4
< 0.1%
842 2
< 0.1%
844 4
< 0.1%
ValueCountFrequency (%)
1128 2
< 0.1%
1118 3
< 0.1%
1116 4
< 0.1%
1114 3
< 0.1%
1112 4
< 0.1%

TKQUNLP
Real number (ℝ)

Distinct1187
Distinct (%)3.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.157078995
Minimum2.745648
Maximum3.746736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:55.851206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.745648
5-th percentile2.91808
Q13.00128
median3.090512
Q33.347696
95-th percentile3.4776
Maximum3.746736
Range1.001088
Interquartile range (IQR)0.346416

Descriptive statistics

Standard deviation0.1928081793
Coefficient of variation (CV)0.06107169937
Kurtosis-0.997566527
Mean3.157078995
Median Absolute Deviation (MAD)0.126008
Skewness0.5302102274
Sum114639.8525
Variance0.037174994
MonotonicityNot monotonic
2024-08-10T10:48:56.166533image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.98136 204
 
0.6%
2.94152 198
 
0.5%
2.9548 180
 
0.5%
2.96144 178
 
0.5%
2.99464 171
 
0.5%
2.96808 170
 
0.5%
3.00128 164
 
0.5%
2.994048 160
 
0.4%
2.960928 157
 
0.4%
2.93488 155
 
0.4%
Other values (1177) 34575
95.2%
ValueCountFrequency (%)
2.745648 1
< 0.1%
2.762208 1
< 0.1%
2.772104 1
< 0.1%
2.778864 1
< 0.1%
2.788704 2
< 0.1%
ValueCountFrequency (%)
3.746736 2
< 0.1%
3.707288 1
< 0.1%
3.69848 1
< 0.1%
3.698344 2
< 0.1%
3.694024 2
< 0.1%

VWPFOKV
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:56.414988image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:48:56.619295image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

AKRJZVC
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:56.815346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:48:57.007403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

BTZIFTJ
Real number (ℝ)

Distinct72
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.769886677
Minimum9.421
Maximum10.149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:57.269082image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.421
5-th percentile9.562
Q19.705
median9.776
Q39.849
95-th percentile9.925
Maximum10.149
Range0.728
Interquartile range (IQR)0.144

Descriptive statistics

Standard deviation0.1094053415
Coefficient of variation (CV)0.01119822012
Kurtosis0.1947060308
Mean9.769886677
Median Absolute Deviation (MAD)0.072
Skewness-0.1963130223
Sum354764.125
Variance0.01196952876
MonotonicityNot monotonic
2024-08-10T10:48:57.563906image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.728 2799
 
7.7%
9.801 2121
 
5.8%
9.825 2046
 
5.6%
9.752 1819
 
5.0%
9.776 1812
 
5.0%
9.704 1760
 
4.8%
9.777 1512
 
4.2%
9.729 1436
 
4.0%
9.657 1423
 
3.9%
9.633 1333
 
3.7%
Other values (62) 18251
50.3%
ValueCountFrequency (%)
9.421 1
 
< 0.1%
9.445 46
 
0.1%
9.468 26
 
0.1%
9.491 565
1.6%
9.514 14
 
< 0.1%
ValueCountFrequency (%)
10.149 19
 
0.1%
10.124 8
 
< 0.1%
10.123 4
 
< 0.1%
10.1 3
 
< 0.1%
10.099 146
0.4%

HNXONUF
Real number (ℝ)

Distinct255
Distinct (%)0.7%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.894399455
Minimum7.493
Maximum8.419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:57.871137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.493
5-th percentile7.648
Q17.785
median7.896
Q37.992
95-th percentile8.168
Maximum8.419
Range0.926
Interquartile range (IQR)0.207

Descriptive statistics

Standard deviation0.1519441981
Coefficient of variation (CV)0.01924708763
Kurtosis-0.2316909256
Mean7.894399455
Median Absolute Deviation (MAD)0.106
Skewness0.1619544659
Sum286661.433
Variance0.02308703932
MonotonicityNot monotonic
2024-08-10T10:48:58.173549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.896 1536
 
4.2%
7.98 1420
 
3.9%
7.728 1346
 
3.7%
7.812 1020
 
2.8%
8.014 987
 
2.7%
7.733 883
 
2.4%
7.616 725
 
2.0%
7.785 712
 
2.0%
7.936 676
 
1.9%
7.974 656
 
1.8%
Other values (245) 26351
72.6%
ValueCountFrequency (%)
7.493 15
 
< 0.1%
7.525 7
 
< 0.1%
7.53 221
0.6%
7.557 1
 
< 0.1%
7.562 14
 
< 0.1%
ValueCountFrequency (%)
8.419 1
 
< 0.1%
8.384 5
< 0.1%
8.377 10
< 0.1%
8.374 1
 
< 0.1%
8.361 3
 
< 0.1%

GPKTTWB
Real number (ℝ)

Distinct103
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.294904907
Minimum3.243
Maximum3.361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:58.465791image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.243
5-th percentile3.273
Q13.286
median3.295
Q33.304
95-th percentile3.317
Maximum3.361
Range0.118
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.01327899291
Coefficient of variation (CV)0.004030159682
Kurtosis0.09597645994
Mean3.294904907
Median Absolute Deviation (MAD)0.009
Skewness0.07838970089
Sum119644.587
Variance0.0001763316528
MonotonicityNot monotonic
2024-08-10T10:48:58.783278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.298 1179
 
3.2%
3.288 1153
 
3.2%
3.29 1148
 
3.2%
3.295 1143
 
3.1%
3.293 1132
 
3.1%
3.291 1092
 
3.0%
3.296 1082
 
3.0%
3.292 1060
 
2.9%
3.286 1032
 
2.8%
3.3 1028
 
2.8%
Other values (93) 25263
69.6%
ValueCountFrequency (%)
3.243 1
 
< 0.1%
3.245 1
 
< 0.1%
3.246 1
 
< 0.1%
3.248 2
< 0.1%
3.249 3
< 0.1%
ValueCountFrequency (%)
3.361 1
 
< 0.1%
3.35 3
< 0.1%
3.345 1
 
< 0.1%
3.344 1
 
< 0.1%
3.343 1
 
< 0.1%

PCJBMTF
Real number (ℝ)

Distinct35
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.147868556
Minimum1.129
Maximum1.208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:59.086147image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.129
5-th percentile1.14
Q11.145
median1.148
Q31.151
95-th percentile1.155
Maximum1.208
Range0.079
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.004409318189
Coefficient of variation (CV)0.003841309326
Kurtosis0.7912047022
Mean1.147868556
Median Absolute Deviation (MAD)0.003
Skewness0.009103224275
Sum41681.403
Variance1.944208689 × 10-5
MonotonicityNot monotonic
2024-08-10T10:48:59.362797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1.148 3631
 
10.0%
1.15 3162
 
8.7%
1.146 3022
 
8.3%
1.149 2877
 
7.9%
1.147 2869
 
7.9%
1.151 2642
 
7.3%
1.145 2602
 
7.2%
1.143 2086
 
5.7%
1.153 2073
 
5.7%
1.152 1988
 
5.5%
Other values (25) 9360
25.8%
ValueCountFrequency (%)
1.129 1
 
< 0.1%
1.132 3
 
< 0.1%
1.133 10
 
< 0.1%
1.134 16
< 0.1%
1.135 31
0.1%
ValueCountFrequency (%)
1.208 1
 
< 0.1%
1.164 1
 
< 0.1%
1.163 10
< 0.1%
1.162 9
< 0.1%
1.161 22
0.1%

JZYCXXB
Real number (ℝ)

Distinct100
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.286283901
Minimum3.236
Maximum3.345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:48:59.684884image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.236
5-th percentile3.266
Q13.278
median3.286
Q33.295
95-th percentile3.308
Maximum3.345
Range0.109
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01274325184
Coefficient of variation (CV)0.003877708753
Kurtosis0.1474850725
Mean3.286283901
Median Absolute Deviation (MAD)0.008
Skewness0.09908001686
Sum119331.541
Variance0.0001623904676
MonotonicityNot monotonic
2024-08-10T10:48:59.996237image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.285 1371
 
3.8%
3.288 1178
 
3.2%
3.283 1175
 
3.2%
3.291 1168
 
3.2%
3.287 1163
 
3.2%
3.29 1155
 
3.2%
3.281 1155
 
3.2%
3.284 1102
 
3.0%
3.286 1102
 
3.0%
3.28 1028
 
2.8%
Other values (90) 24715
68.1%
ValueCountFrequency (%)
3.236 1
 
< 0.1%
3.239 2
< 0.1%
3.24 2
< 0.1%
3.243 3
< 0.1%
3.244 2
< 0.1%
ValueCountFrequency (%)
3.345 2
< 0.1%
3.343 2
< 0.1%
3.34 1
 
< 0.1%
3.337 1
 
< 0.1%
3.336 4
< 0.1%

HCSXZKW
Real number (ℝ)

Distinct27
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9557036792
Minimum0.943
Maximum1.005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:00.290217image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.943
5-th percentile0.95
Q10.953
median0.956
Q30.958
95-th percentile0.961
Maximum1.005
Range0.062
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.003425035637
Coefficient of variation (CV)0.003583784087
Kurtosis3.14078628
Mean0.9557036792
Median Absolute Deviation (MAD)0.002
Skewness0.1290463597
Sum34703.512
Variance1.173086912 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:00.548733image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.955 4192
11.5%
0.956 4082
11.2%
0.957 4062
11.2%
0.958 3721
10.2%
0.954 3464
9.5%
0.953 2997
8.3%
0.959 2744
7.6%
0.952 2310
6.4%
0.96 1920
 
5.3%
0.951 1557
 
4.3%
Other values (17) 5263
14.5%
ValueCountFrequency (%)
0.943 1
 
< 0.1%
0.944 8
 
< 0.1%
0.945 29
 
0.1%
0.946 78
 
0.2%
0.947 196
0.5%
ValueCountFrequency (%)
1.005 2
 
< 0.1%
1.003 1
 
< 0.1%
0.967 8
 
< 0.1%
0.966 18
 
< 0.1%
0.965 77
0.2%

WHHQYVO
Real number (ℝ)

Distinct47
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.797067195
Minimum1.773
Maximum1.825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:00.848276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.773
5-th percentile1.788
Q11.793
median1.797
Q31.801
95-th percentile1.807
Maximum1.825
Range0.052
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.005672848799
Coefficient of variation (CV)0.003156726033
Kurtosis0.02761133053
Mean1.797067195
Median Absolute Deviation (MAD)0.004
Skewness0.05194250347
Sum65255.104
Variance3.218121349 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:01.176929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1.796 2770
 
7.6%
1.799 2603
 
7.2%
1.795 2452
 
6.8%
1.8 2330
 
6.4%
1.798 2313
 
6.4%
1.797 2279
 
6.3%
1.794 2273
 
6.3%
1.793 1910
 
5.3%
1.802 1765
 
4.9%
1.801 1725
 
4.8%
Other values (37) 13892
38.3%
ValueCountFrequency (%)
1.773 1
 
< 0.1%
1.776 2
 
< 0.1%
1.777 2
 
< 0.1%
1.778 6
 
< 0.1%
1.779 16
< 0.1%
ValueCountFrequency (%)
1.825 3
< 0.1%
1.821 2
 
< 0.1%
1.819 3
< 0.1%
1.818 3
< 0.1%
1.817 5
< 0.1%

FUPIOHC
Real number (ℝ)

Distinct31
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.15379778
Minimum1.138
Maximum1.168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:01.442589image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.138
5-th percentile1.147
Q11.151
median1.154
Q31.157
95-th percentile1.161
Maximum1.168
Range0.03
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.004175305654
Coefficient of variation (CV)0.003618749945
Kurtosis-0.1352564568
Mean1.15379778
Median Absolute Deviation (MAD)0.003
Skewness-0.08487898709
Sum41896.705
Variance1.74331773 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:01.691068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1.156 3766
10.4%
1.153 3610
9.9%
1.154 3556
9.8%
1.151 2961
 
8.2%
1.155 2767
 
7.6%
1.152 2639
 
7.3%
1.158 2417
 
6.7%
1.157 2200
 
6.1%
1.15 1989
 
5.5%
1.159 1799
 
5.0%
Other values (21) 8608
23.7%
ValueCountFrequency (%)
1.138 1
 
< 0.1%
1.139 5
 
< 0.1%
1.14 10
 
< 0.1%
1.141 34
0.1%
1.142 56
0.2%
ValueCountFrequency (%)
1.168 7
 
< 0.1%
1.167 14
 
< 0.1%
1.166 44
 
0.1%
1.165 65
0.2%
1.164 152
0.4%

KPXMEBJ
Real number (ℝ)

Distinct47
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9452712877
Minimum0.928
Maximum0.974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:01.978067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.928
5-th percentile0.935
Q10.939
median0.946
Q30.95
95-th percentile0.956
Maximum0.974
Range0.046
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.006864549813
Coefficient of variation (CV)0.007261989126
Kurtosis-0.3463126105
Mean0.9452712877
Median Absolute Deviation (MAD)0.005
Skewness0.2460166489
Sum34324.691
Variance4.712204413 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:02.275321image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.948 2209
 
6.1%
0.947 2089
 
5.8%
0.949 2044
 
5.6%
0.937 1959
 
5.4%
0.939 1904
 
5.2%
0.95 1878
 
5.2%
0.946 1867
 
5.1%
0.938 1843
 
5.1%
0.951 1780
 
4.9%
0.94 1659
 
4.6%
Other values (37) 17080
47.0%
ValueCountFrequency (%)
0.928 3
 
< 0.1%
0.929 12
 
< 0.1%
0.93 12
 
< 0.1%
0.931 62
 
0.2%
0.932 162
0.4%
ValueCountFrequency (%)
0.974 1
 
< 0.1%
0.973 6
 
< 0.1%
0.972 5
 
< 0.1%
0.971 10
< 0.1%
0.97 19
0.1%

REAKUIZ
Real number (ℝ)

Distinct48
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.6520908515
Minimum0.632
Maximum0.681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:02.552164image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.632
5-th percentile0.64
Q10.646
median0.654
Q30.657
95-th percentile0.664
Maximum0.681
Range0.049
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.007272404376
Coefficient of variation (CV)0.01115244043
Kurtosis-0.1195568652
Mean0.6520908515
Median Absolute Deviation (MAD)0.004
Skewness0.01590269912
Sum23678.723
Variance5.288786541 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:02.952471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.655 3361
 
9.3%
0.656 2999
 
8.3%
0.657 2664
 
7.3%
0.654 2598
 
7.2%
0.653 1891
 
5.2%
0.658 1850
 
5.1%
0.644 1349
 
3.7%
0.646 1305
 
3.6%
0.647 1282
 
3.5%
0.652 1252
 
3.4%
Other values (38) 15761
43.4%
ValueCountFrequency (%)
0.632 3
 
< 0.1%
0.633 12
 
< 0.1%
0.634 33
 
0.1%
0.635 95
0.3%
0.636 180
0.5%
ValueCountFrequency (%)
0.681 2
 
< 0.1%
0.678 1
 
< 0.1%
0.677 5
 
< 0.1%
0.676 6
 
< 0.1%
0.675 19
0.1%

NTJRVGR
Real number (ℝ)

Distinct85
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.676272334
Minimum5.356
Maximum6.142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:03.343498image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.356
5-th percentile5.447
Q15.578
median5.685
Q35.762
95-th percentile5.931
Maximum6.142
Range0.786
Interquartile range (IQR)0.184

Descriptive statistics

Standard deviation0.1370701131
Coefficient of variation (CV)0.02414790994
Kurtosis-0.2272772034
Mean5.676272334
Median Absolute Deviation (MAD)0.084
Skewness0.1958669928
Sum206116.801
Variance0.01878821591
MonotonicityNot monotonic
2024-08-10T10:49:03.869287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.685 2462
 
6.8%
5.762 2262
 
6.2%
5.531 2188
 
6.0%
5.769 1783
 
4.9%
5.608 1775
 
4.9%
5.593 1429
 
3.9%
5.44 1395
 
3.8%
5.524 1393
 
3.8%
5.715 1169
 
3.2%
5.707 980
 
2.7%
Other values (75) 19476
53.6%
ValueCountFrequency (%)
5.356 1
 
< 0.1%
5.363 385
1.1%
5.37 21
 
0.1%
5.377 2
 
< 0.1%
5.433 7
 
< 0.1%
ValueCountFrequency (%)
6.142 15
< 0.1%
6.134 6
 
< 0.1%
6.109 3
 
< 0.1%
6.093 1
 
< 0.1%
6.064 1
 
< 0.1%

OBFPKIQ
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.421017845 × 10-5
Minimum0
Maximum0.001
Zeros35796
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:04.340043image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.001
Range0.001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001183580799
Coefficient of variation (CV)8.329105806
Kurtosis65.39567762
Mean1.421017845 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.209267674
Sum0.516
Variance1.400863507 × 10-8
MonotonicityNot monotonic
2024-08-10T10:49:04.784102image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 35796
98.6%
0.001 516
 
1.4%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 35796
98.6%
0.001 516
 
1.4%
ValueCountFrequency (%)
0.001 516
 
1.4%
0 35796
98.6%

CPFOOLV
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.434787398 × 10-5
Minimum0
Maximum0.004
Zeros35797
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:05.227521image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.004
Range0.004
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.000121669054
Coefficient of variation (CV)8.479936062
Kurtosis121.2956756
Mean1.434787398 × 10-5
Median Absolute Deviation (MAD)0
Skewness9.446308015
Sum0.521
Variance1.48033587 × 10-8
MonotonicityNot monotonic
2024-08-10T10:49:05.613748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 35797
98.6%
0.001 513
 
1.4%
0.004 2
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 35797
98.6%
0.001 513
 
1.4%
0.004 2
 
< 0.1%
ValueCountFrequency (%)
0.004 2
 
< 0.1%
0.001 513
 
1.4%
0 35797
98.6%

ETSCGYD
Real number (ℝ)

Distinct420
Distinct (%)1.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.912203294
Minimum4.443
Maximum5.228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:05.991089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.443
5-th percentile4.509
Q14.552
median5.097
Q35.127
95-th percentile5.159
Maximum5.228
Range0.785
Interquartile range (IQR)0.575

Descriptive statistics

Standard deviation0.2791337796
Coefficient of variation (CV)0.05682455772
Kurtosis-1.605525657
Mean4.912203294
Median Absolute Deviation (MAD)0.044
Skewness-0.5920436566
Sum178371.926
Variance0.07791566691
MonotonicityNot monotonic
2024-08-10T10:49:06.490371image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.121 488
 
1.3%
5.106 459
 
1.3%
5.13 450
 
1.2%
5.115 429
 
1.2%
5.124 406
 
1.1%
5.109 405
 
1.1%
5.127 398
 
1.1%
5.113 384
 
1.1%
5.119 377
 
1.0%
5.133 377
 
1.0%
Other values (410) 32139
88.5%
ValueCountFrequency (%)
4.443 1
< 0.1%
4.445 1
< 0.1%
4.447 1
< 0.1%
4.452 1
< 0.1%
4.454 1
< 0.1%
ValueCountFrequency (%)
5.228 1
< 0.1%
5.225 1
< 0.1%
5.222 1
< 0.1%
5.219 2
< 0.1%
5.217 2
< 0.1%

LLHXSPF
Real number (ℝ)

Distinct54
Distinct (%)0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.795161159
Minimum1.715
Maximum1.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:07.052724image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.715
5-th percentile1.784
Q11.791
median1.795
Q31.8
95-th percentile1.806
Maximum1.82
Range0.105
Interquartile range (IQR)0.009

Descriptive statistics

Standard deviation0.006507628617
Coefficient of variation (CV)0.003625094374
Kurtosis1.185751182
Mean1.795161159
Median Absolute Deviation (MAD)0.004
Skewness-0.1521560289
Sum65185.892
Variance4.234923022 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:07.619704image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.796 2421
 
6.7%
1.795 2220
 
6.1%
1.799 2185
 
6.0%
1.793 2105
 
5.8%
1.794 2082
 
5.7%
1.791 1990
 
5.5%
1.792 1901
 
5.2%
1.8 1879
 
5.2%
1.797 1852
 
5.1%
1.798 1835
 
5.1%
Other values (44) 15842
43.6%
ValueCountFrequency (%)
1.715 2
< 0.1%
1.767 1
 
< 0.1%
1.768 1
 
< 0.1%
1.769 1
 
< 0.1%
1.77 4
< 0.1%
ValueCountFrequency (%)
1.82 1
 
< 0.1%
1.818 2
 
< 0.1%
1.817 16
< 0.1%
1.816 9
< 0.1%
1.815 16
< 0.1%

OOXHPWM
Real number (ℝ)

Distinct184
Distinct (%)0.5%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.602668126
Minimum3.508
Maximum3.706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:08.087346image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.508
5-th percentile3.554
Q13.578
median3.599
Q33.627
95-th percentile3.659
Maximum3.706
Range0.198
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.03238917699
Coefficient of variation (CV)0.00899033046
Kurtosis-0.6385655306
Mean3.602668126
Median Absolute Deviation (MAD)0.024
Skewness0.2510666561
Sum130820.085
Variance0.001049058786
MonotonicityNot monotonic
2024-08-10T10:49:10.894519image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.591 554
 
1.5%
3.599 551
 
1.5%
3.594 528
 
1.5%
3.583 497
 
1.4%
3.596 483
 
1.3%
3.588 476
 
1.3%
3.578 469
 
1.3%
3.586 463
 
1.3%
3.618 460
 
1.3%
3.61 458
 
1.3%
Other values (174) 31373
86.4%
ValueCountFrequency (%)
3.508 1
 
< 0.1%
3.511 1
 
< 0.1%
3.517 1
 
< 0.1%
3.519 2
< 0.1%
3.521 3
< 0.1%
ValueCountFrequency (%)
3.706 1
 
< 0.1%
3.704 1
 
< 0.1%
3.701 1
 
< 0.1%
3.699 1
 
< 0.1%
3.696 4
< 0.1%

VXWAKJT
Real number (ℝ)

Distinct102
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.21099496
Minimum3.157
Maximum3.398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:11.201241image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.157
5-th percentile3.19
Q13.203
median3.211
Q33.219
95-th percentile3.232
Maximum3.398
Range0.241
Interquartile range (IQR)0.016

Descriptive statistics

Standard deviation0.01269633568
Coefficient of variation (CV)0.003954019186
Kurtosis1.451971417
Mean3.21099496
Median Absolute Deviation (MAD)0.008
Skewness0.1717808444
Sum116597.649
Variance0.0001611969397
MonotonicityNot monotonic
2024-08-10T10:49:11.525382image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.212 1410
 
3.9%
3.211 1261
 
3.5%
3.213 1232
 
3.4%
3.209 1205
 
3.3%
3.208 1151
 
3.2%
3.21 1146
 
3.2%
3.207 1116
 
3.1%
3.214 1095
 
3.0%
3.215 1094
 
3.0%
3.217 1069
 
2.9%
Other values (92) 24533
67.6%
ValueCountFrequency (%)
3.157 1
 
< 0.1%
3.159 1
 
< 0.1%
3.165 3
< 0.1%
3.166 4
< 0.1%
3.167 3
< 0.1%
ValueCountFrequency (%)
3.398 1
 
< 0.1%
3.265 2
< 0.1%
3.264 1
 
< 0.1%
3.261 4
< 0.1%
3.26 1
 
< 0.1%

XJJAKPY
Real number (ℝ)

Distinct107
Distinct (%)0.3%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.272244327
Minimum3.22
Maximum3.331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:11.820930image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.22
5-th percentile3.248
Q13.263
median3.272
Q33.282
95-th percentile3.296
Maximum3.331
Range0.111
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.01436762087
Coefficient of variation (CV)0.004390754306
Kurtosis-0.04954380316
Mean3.272244327
Median Absolute Deviation (MAD)0.01
Skewness0.02164744076
Sum118821.736
Variance0.0002064285294
MonotonicityNot monotonic
2024-08-10T10:49:12.124465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.268 1074
 
3.0%
3.275 1070
 
2.9%
3.273 1065
 
2.9%
3.27 1012
 
2.8%
3.277 1008
 
2.8%
3.272 989
 
2.7%
3.269 984
 
2.7%
3.266 958
 
2.6%
3.276 950
 
2.6%
3.271 943
 
2.6%
Other values (97) 26259
72.3%
ValueCountFrequency (%)
3.22 1
 
< 0.1%
3.222 1
 
< 0.1%
3.224 4
< 0.1%
3.225 2
< 0.1%
3.226 1
 
< 0.1%
ValueCountFrequency (%)
3.331 3
< 0.1%
3.329 2
< 0.1%
3.327 1
 
< 0.1%
3.325 1
 
< 0.1%
3.324 3
< 0.1%

IYFABDO
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.05518836748
Minimum0
Maximum4
Zeros34565
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:12.400668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2630945899
Coefficient of variation (CV)4.767210952
Kurtosis41.08891781
Mean0.05518836748
Median Absolute Deviation (MAD)0
Skewness5.731419392
Sum2004
Variance0.06921876323
MonotonicityNot monotonic
2024-08-10T10:49:12.626645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 34565
95.2%
1 1538
 
4.2%
2 166
 
0.5%
3 38
 
0.1%
4 5
 
< 0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
0 34565
95.2%
1 1538
 
4.2%
2 166
 
0.5%
3 38
 
0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
4 5
 
< 0.1%
3 38
 
0.1%
2 166
 
0.5%
1 1538
 
4.2%
0 34565
95.2%

QSQCEMO
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.979402236
Minimum4.92712
Maximum5.0336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:12.870939image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.92712
5-th percentile4.94648
Q14.96584
median4.9852
Q34.9852
95-th percentile5.01424
Maximum5.0336
Range0.10648
Interquartile range (IQR)0.01936

Descriptive statistics

Standard deviation0.01667102197
Coefficient of variation (CV)0.003347996643
Kurtosis0.1576510099
Mean4.979402236
Median Absolute Deviation (MAD)0.00968
Skewness0.08539834652
Sum180822.0128
Variance0.0002779229735
MonotonicityNot monotonic
2024-08-10T10:49:13.108937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4.9852 13362
36.8%
4.97552 6821
18.8%
4.96584 4679
 
12.9%
4.95616 3027
 
8.3%
4.94648 2244
 
6.2%
5.00456 2192
 
6.0%
4.99488 1956
 
5.4%
5.01424 1845
 
5.1%
5.0336 152
 
0.4%
4.9368 27
 
0.1%
Other values (2) 9
 
< 0.1%
ValueCountFrequency (%)
4.92712 5
 
< 0.1%
4.9368 27
 
0.1%
4.94648 2244
6.2%
4.95616 3027
8.3%
4.96584 4679
12.9%
ValueCountFrequency (%)
5.0336 152
 
0.4%
5.02392 4
 
< 0.1%
5.01424 1845
5.1%
5.00456 2192
6.0%
4.99488 1956
5.4%

FREGTES
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.062734364
Minimum5.00456
Maximum5.12072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:13.375864image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.00456
5-th percentile5.02392
Q15.04328
median5.06264
Q35.082
95-th percentile5.11104
Maximum5.12072
Range0.11616
Interquartile range (IQR)0.03872

Descriptive statistics

Standard deviation0.02681381804
Coefficient of variation (CV)0.005296311462
Kurtosis-0.7518846224
Mean5.062734364
Median Absolute Deviation (MAD)0.01936
Skewness0.09469064821
Sum183848.1357
Variance0.0007189808378
MonotonicityNot monotonic
2024-08-10T10:49:13.623980image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5.07232 6016
16.6%
5.082 5605
15.4%
5.04328 5417
14.9%
5.0336 3693
10.2%
5.06264 3590
9.9%
5.11104 3394
9.3%
5.05296 2833
7.8%
5.02392 2043
 
5.6%
5.10136 1656
 
4.6%
5.01424 1437
 
4.0%
Other values (3) 630
 
1.7%
ValueCountFrequency (%)
5.00456 251
 
0.7%
5.01424 1437
 
4.0%
5.02392 2043
 
5.6%
5.0336 3693
10.2%
5.04328 5417
14.9%
ValueCountFrequency (%)
5.12072 2
 
< 0.1%
5.11104 3394
9.3%
5.10136 1656
 
4.6%
5.09168 377
 
1.0%
5.082 5605
15.4%

MFKGYLS
Real number (ℝ)

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.22461739
Minimum11.902
Maximum12.342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:13.876899image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum11.902
5-th percentile12.056
Q112.21
median12.232
Q312.276
95-th percentile12.32
Maximum12.342
Range0.44
Interquartile range (IQR)0.066

Descriptive statistics

Standard deviation0.06910055047
Coefficient of variation (CV)0.005652573676
Kurtosis4.308183902
Mean12.22461739
Median Absolute Deviation (MAD)0.044
Skewness-1.776826466
Sum443924.756
Variance0.004774886075
MonotonicityNot monotonic
2024-08-10T10:49:14.110130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
12.232 9074
25.0%
12.276 5824
16.0%
12.21 5045
13.9%
12.188 4197
11.6%
12.254 3212
 
8.8%
12.298 2726
 
7.5%
12.32 1974
 
5.4%
12.166 1060
 
2.9%
12.056 639
 
1.8%
12.144 575
 
1.6%
Other values (11) 1988
 
5.5%
ValueCountFrequency (%)
11.902 20
 
0.1%
11.924 80
 
0.2%
11.946 204
0.6%
11.968 269
0.7%
11.99 353
1.0%
ValueCountFrequency (%)
12.342 1
 
< 0.1%
12.32 1974
 
5.4%
12.298 2726
7.5%
12.276 5824
16.0%
12.254 3212
8.8%

RETRSMC
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.899863845
Minimum4.84
Maximum4.9368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:14.338398image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.84
5-th percentile4.87872
Q14.8884
median4.89808
Q34.90776
95-th percentile4.91744
Maximum4.9368
Range0.0968
Interquartile range (IQR)0.01936

Descriptive statistics

Standard deviation0.01462487581
Coefficient of variation (CV)0.002984751469
Kurtosis0.06511694096
Mean4.899863845
Median Absolute Deviation (MAD)0.00968
Skewness-0.4900156563
Sum177933.6557
Variance0.0002138869925
MonotonicityNot monotonic
2024-08-10T10:49:14.645986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
4.91744 8077
22.2%
4.89808 7905
21.8%
4.90776 7705
21.2%
4.8884 6903
19.0%
4.87872 3997
11.0%
4.86904 787
 
2.2%
4.92712 579
 
1.6%
4.84968 232
 
0.6%
4.85936 59
 
0.2%
4.84 53
 
0.1%
ValueCountFrequency (%)
4.84 53
 
0.1%
4.84968 232
 
0.6%
4.85936 59
 
0.2%
4.86904 787
 
2.2%
4.87872 3997
11.0%
ValueCountFrequency (%)
4.9368 17
 
< 0.1%
4.92712 579
 
1.6%
4.91744 8077
22.2%
4.90776 7705
21.2%
4.89808 7905
21.8%

LWIGOSX
Real number (ℝ)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.044913367
Minimum3.012
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:14.865994image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.012
5-th percentile3.032
Q13.04
median3.044
Q33.052
95-th percentile3.064
Maximum3.068
Range0.056
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008585943911
Coefficient of variation (CV)0.002819766239
Kurtosis0.6487466093
Mean3.044913367
Median Absolute Deviation (MAD)0.004
Skewness-0.09822432545
Sum110572.984
Variance7.371843284 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:15.092848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3.048 7738
21.3%
3.044 7692
21.2%
3.052 6580
18.1%
3.032 5002
13.8%
3.04 3298
9.1%
3.036 2739
 
7.5%
3.064 2030
 
5.6%
3.056 718
 
2.0%
3.012 200
 
0.6%
3.06 190
 
0.5%
Other values (5) 127
 
0.3%
ValueCountFrequency (%)
3.012 200
0.6%
3.016 2
 
< 0.1%
3.02 3
 
< 0.1%
3.024 18
 
< 0.1%
3.028 79
 
0.2%
ValueCountFrequency (%)
3.068 25
 
0.1%
3.064 2030
 
5.6%
3.06 190
 
0.5%
3.056 718
 
2.0%
3.052 6580
18.1%

SXUVCDJ
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.495014705
Minimum2.48
Maximum2.504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:15.324939image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.48
5-th percentile2.48
Q12.492
median2.496
Q32.5
95-th percentile2.504
Maximum2.504
Range0.024
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.005709636984
Coefficient of variation (CV)0.00228841817
Kurtosis0.6782151821
Mean2.495014705
Median Absolute Deviation (MAD)0.004
Skewness-0.7719489582
Sum90603.964
Variance3.259995449 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:15.582786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2.492 10933
30.1%
2.5 9147
25.2%
2.496 9017
24.8%
2.504 2976
 
8.2%
2.48 2049
 
5.6%
2.488 1661
 
4.6%
2.484 531
 
1.5%
ValueCountFrequency (%)
2.48 2049
 
5.6%
2.484 531
 
1.5%
2.488 1661
 
4.6%
2.492 10933
30.1%
2.496 9017
24.8%
ValueCountFrequency (%)
2.504 2976
 
8.2%
2.5 9147
25.2%
2.496 9017
24.8%
2.492 10933
30.1%
2.488 1661
 
4.6%

ZHFQXTN
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9236369444
Minimum0.904
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:15.810687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.904
5-th percentile0.912
Q10.92
median0.924
Q30.928
95-th percentile0.936
Maximum0.944
Range0.04
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.006758803293
Coefficient of variation (CV)0.007317597389
Kurtosis-0.6180109096
Mean0.9236369444
Median Absolute Deviation (MAD)0.004
Skewness-0.06301481099
Sum33540.952
Variance4.568142195 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:16.054749image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.924 7403
20.4%
0.928 7306
20.1%
0.92 6666
18.4%
0.916 5046
13.9%
0.932 4928
13.6%
0.912 2572
 
7.1%
0.936 1644
 
4.5%
0.908 489
 
1.3%
0.94 240
 
0.7%
0.944 18
 
< 0.1%
ValueCountFrequency (%)
0.904 2
 
< 0.1%
0.908 489
 
1.3%
0.912 2572
 
7.1%
0.916 5046
13.9%
0.92 6666
18.4%
ValueCountFrequency (%)
0.944 18
 
< 0.1%
0.94 240
 
0.7%
0.936 1644
 
4.5%
0.932 4928
13.6%
0.928 7306
20.1%

QKXDWEZ
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.33119447
Minimum3.308
Maximum3.356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:16.290810image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.316
Q13.324
median3.332
Q33.336
95-th percentile3.348
Maximum3.356
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008164645364
Coefficient of variation (CV)0.002450966293
Kurtosis-0.2351141849
Mean3.33119447
Median Absolute Deviation (MAD)0.004
Skewness0.2428096103
Sum120968.996
Variance6.666143391 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:16.561478image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.336 7456
20.5%
3.328 6989
19.2%
3.332 6450
17.8%
3.324 4760
13.1%
3.32 2932
 
8.1%
3.344 1915
 
5.3%
3.348 1843
 
5.1%
3.316 1836
 
5.1%
3.34 1770
 
4.9%
3.352 246
 
0.7%
Other values (3) 117
 
0.3%
ValueCountFrequency (%)
3.308 5
 
< 0.1%
3.312 59
 
0.2%
3.316 1836
 
5.1%
3.32 2932
8.1%
3.324 4760
13.1%
ValueCountFrequency (%)
3.356 53
 
0.1%
3.352 246
 
0.7%
3.348 1843
5.1%
3.344 1915
5.3%
3.34 1770
4.9%

CBNASKU
Real number (ℝ)

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.04900314
Minimum22
Maximum30.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:16.788898image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile25.5
Q126
median27
Q328
95-th percentile28.5
Maximum30.5
Range8.5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.135524375
Coefficient of variation (CV)0.04198026704
Kurtosis-1.320926947
Mean27.04900314
Median Absolute Deviation (MAD)1
Skewness0.02991610481
Sum982257.5
Variance1.289415606
MonotonicityNot monotonic
2024-08-10T10:49:17.024283image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
26 8024
22.1%
28 7415
20.4%
28.5 4934
13.6%
25.5 4415
12.2%
26.5 4114
11.3%
27.5 3684
10.1%
27 1749
 
4.8%
29 1301
 
3.6%
25 499
 
1.4%
29.5 128
 
0.4%
Other values (7) 51
 
0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
23 3
 
< 0.1%
23.5 11
< 0.1%
24 8
< 0.1%
24.5 19
0.1%
ValueCountFrequency (%)
30.5 2
 
< 0.1%
30 7
 
< 0.1%
29.5 128
 
0.4%
29 1301
 
3.6%
28.5 4934
13.6%

JOJRNMZ
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.309966312
Minimum3.27352
Maximum3.33992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:17.258006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.27352
5-th percentile3.2868
Q13.30008
median3.30672
Q33.32
95-th percentile3.33992
Maximum3.33992
Range0.0664
Interquartile range (IQR)0.01992

Descriptive statistics

Standard deviation0.01432792071
Coefficient of variation (CV)0.00432872101
Kurtosis0.4137544005
Mean3.309966312
Median Absolute Deviation (MAD)0.00664
Skewness-0.01072442494
Sum120198.1166
Variance0.000205289312
MonotonicityNot monotonic
2024-08-10T10:49:17.490912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.30672 8722
24.0%
3.31336 8359
23.0%
3.30008 4866
13.4%
3.32 4080
11.2%
3.29344 2808
 
7.7%
3.33992 2164
 
6.0%
3.33328 2000
 
5.5%
3.27352 983
 
2.7%
3.32664 928
 
2.6%
3.28016 760
 
2.1%
ValueCountFrequency (%)
3.27352 983
 
2.7%
3.28016 760
 
2.1%
3.2868 644
 
1.8%
3.29344 2808
7.7%
3.30008 4866
13.4%
ValueCountFrequency (%)
3.33992 2164
 
6.0%
3.33328 2000
 
5.5%
3.32664 928
 
2.6%
3.32 4080
11.2%
3.31336 8359
23.0%

EKTAHFF
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean651.1132683
Minimum19
Maximum1003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:17.722527image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median1003
Q31003
95-th percentile1003
Maximum1003
Range984
Interquartile range (IQR)984

Descriptive statistics

Standard deviation471.6191504
Coefficient of variation (CV)0.7243273534
Kurtosis-1.64709709
Mean651.1132683
Median Absolute Deviation (MAD)0
Skewness-0.5941306246
Sum23643225
Variance222424.623
MonotonicityNot monotonic
2024-08-10T10:49:17.920392image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1003 23326
64.2%
19 12929
35.6%
28 57
 
0.2%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
19 12929
35.6%
28 57
 
0.2%
1003 23326
64.2%
ValueCountFrequency (%)
1003 23326
64.2%
28 57
 
0.2%
19 12929
35.6%

EYARVDG
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean153.5486891
Minimum140
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:18.243555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile150
Q1150
median150
Q3160
95-th percentile160
Maximum160
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.809487509
Coefficient of variation (CV)0.03132223099
Kurtosis-1.582194986
Mean153.5486891
Median Absolute Deviation (MAD)0
Skewness0.5747072428
Sum5575660
Variance23.1311701
MonotonicityNot monotonic
2024-08-10T10:49:18.645452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
150 23340
64.3%
160 12929
35.6%
140 43
 
0.1%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
140 43
 
0.1%
150 23340
64.3%
160 12929
35.6%
ValueCountFrequency (%)
160 12929
35.6%
150 23340
64.3%
140 43
 
0.1%

HGONGZK
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean47
Minimum47
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:19.079233image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile47
Q147
median47
Q347
95-th percentile47
Maximum47
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean47
Median Absolute Deviation (MAD)0
Skewness0
Sum1706664
Variance0
MonotonicityIncreasing
2024-08-10T10:49:19.470535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
47 36312
> 99.9%
(Missing) 2
 
< 0.1%
ValueCountFrequency (%)
47 36312
> 99.9%
ValueCountFrequency (%)
47 36312
> 99.9%

PIACHYE
Real number (ℝ)

Distinct6755
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2688.962466
Minimum0
Maximum7000
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:19.932495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile212
Q11146
median2472
Q34019
95-th percentile6020.7
Maximum7000
Range7000
Interquartile range (IQR)2873

Descriptive statistics

Standard deviation1825.300096
Coefficient of variation (CV)0.6788120397
Kurtosis-0.810055681
Mean2688.962466
Median Absolute Deviation (MAD)1421
Skewness0.4363149367
Sum97646983
Variance3331720.442
MonotonicityNot monotonic
2024-08-10T10:49:20.412133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
304 20
 
0.1%
730 19
 
0.1%
1370 18
 
< 0.1%
1371 18
 
< 0.1%
1022 18
 
< 0.1%
191 18
 
< 0.1%
1578 17
 
< 0.1%
755 17
 
< 0.1%
515 17
 
< 0.1%
1493 16
 
< 0.1%
Other values (6745) 36136
99.5%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 8
< 0.1%
2 7
< 0.1%
3 4
 
< 0.1%
4 10
< 0.1%
ValueCountFrequency (%)
7000 2
< 0.1%
6999 1
 
< 0.1%
6998 1
 
< 0.1%
6997 3
< 0.1%
6996 1
 
< 0.1%

WTARSLQ
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean14.56814093
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:20.838161image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q115
median15
Q315
95-th percentile15
Maximum80
Range79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.909586146
Coefficient of variation (CV)0.1310796041
Kurtosis56.70427041
Mean14.56814093
Median Absolute Deviation (MAD)0
Skewness-0.9404693886
Sum429192
Variance3.646519249
MonotonicityNot monotonic
2024-08-10T10:49:21.239232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
15 27296
75.2%
8 1816
 
5.0%
24 126
 
0.3%
10 60
 
0.2%
14 35
 
0.1%
6 28
 
0.1%
7 21
 
0.1%
12 17
 
< 0.1%
9 16
 
< 0.1%
13 13
 
< 0.1%
Other values (8) 33
 
0.1%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 3
 
< 0.1%
3 6
< 0.1%
4 9
< 0.1%
5 6
< 0.1%
ValueCountFrequency (%)
80 1
 
< 0.1%
26 2
 
< 0.1%
24 126
 
0.3%
15 27296
75.2%
14 35
 
0.1%

AWMGPPL
Real number (ℝ)

MISSING 

Distinct4306
Distinct (%)14.6%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean1533.926072
Minimum0
Maximum5587
Zeros13
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:21.788361image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile118
Q1653
median1394
Q32272
95-th percentile3468
Maximum5587
Range5587
Interquartile range (IQR)1619

Descriptive statistics

Standard deviation1070.070204
Coefficient of variation (CV)0.6976022011
Kurtosis0.2637405345
Mean1533.926072
Median Absolute Deviation (MAD)798
Skewness0.7293112509
Sum45190996
Variance1145050.241
MonotonicityNot monotonic
2024-08-10T10:49:22.323206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 59
 
0.2%
1047 22
 
0.1%
259 22
 
0.1%
223 21
 
0.1%
1936 21
 
0.1%
727 21
 
0.1%
6 20
 
0.1%
413 20
 
0.1%
880 20
 
0.1%
811 20
 
0.1%
Other values (4296) 29215
80.5%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
0 13
< 0.1%
1 13
< 0.1%
2 12
< 0.1%
3 18
< 0.1%
4 10
< 0.1%
ValueCountFrequency (%)
5587 1
< 0.1%
5583 1
< 0.1%
5576 1
< 0.1%
5561 1
< 0.1%
5521 1
< 0.1%

RXLZZHO
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean6.788533994
Minimum0
Maximum15
Zeros2042
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:22.840561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q311
95-th percentile14
Maximum15
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.326815952
Coefficient of variation (CV)0.6373711843
Kurtosis-1.196000412
Mean6.788533994
Median Absolute Deviation (MAD)4
Skewness0.08460385041
Sum199997
Variance18.72133628
MonotonicityNot monotonic
2024-08-10T10:49:23.198470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 2143
 
5.9%
1 2098
 
5.8%
5 2074
 
5.7%
3 2062
 
5.7%
4 2057
 
5.7%
0 2042
 
5.6%
6 2038
 
5.6%
7 2029
 
5.6%
10 1879
 
5.2%
8 1866
 
5.1%
Other values (6) 9173
25.3%
(Missing) 6853
18.9%
ValueCountFrequency (%)
0 2042
5.6%
1 2098
5.8%
2 2143
5.9%
3 2062
5.7%
4 2057
5.7%
ValueCountFrequency (%)
15 94
 
0.3%
14 1813
5.0%
13 1833
5.0%
12 1842
5.1%
11 1818
5.0%

SJZKEVZ
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean3061.551135
Minimum50
Maximum5600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:23.445940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile1200
Q13000
median3000
Q33000
95-th percentile5000
Maximum5600
Range5550
Interquartile range (IQR)0

Descriptive statistics

Standard deviation922.3544416
Coefficient of variation (CV)0.3012703041
Kurtosis1.339273765
Mean3061.551135
Median Absolute Deviation (MAD)0
Skewness0.03890799946
Sum90196358
Variance850737.716
MonotonicityNot monotonic
2024-08-10T10:49:23.660643image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3000 16256
44.8%
2000 2846
 
7.8%
4000 2779
 
7.7%
5000 1885
 
5.2%
3932 1489
 
4.1%
1000 970
 
2.7%
2922 580
 
1.6%
2600 572
 
1.6%
2500 511
 
1.4%
5600 381
 
1.0%
Other values (9) 1192
 
3.3%
(Missing) 6853
18.9%
ValueCountFrequency (%)
50 16
 
< 0.1%
70 88
 
0.2%
80 44
 
0.1%
100 49
 
0.1%
915 296
0.8%
ValueCountFrequency (%)
5600 381
 
1.0%
5000 1885
 
5.2%
4000 2779
 
7.7%
3932 1489
 
4.1%
3000 16256
44.8%

VDOFXVB
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:23.906846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:49:24.098027image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

LCAOHWW
Real number (ℝ)

Distinct21
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2121.571267
Minimum2099
Maximum2127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:24.333223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2099
5-th percentile2116
Q12119
median2122
Q32124
95-th percentile2126
Maximum2127
Range28
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.342978245
Coefficient of variation (CV)0.001575708672
Kurtosis0.4087510385
Mean2121.571267
Median Absolute Deviation (MAD)2
Skewness-0.5223267698
Sum77042739
Variance11.17550355
MonotonicityNot monotonic
2024-08-10T10:49:24.557284image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2122 4921
13.6%
2124 4763
13.1%
2126 4336
11.9%
2116 4194
11.5%
2123 3820
10.5%
2120 3737
10.3%
2121 2928
8.1%
2118 2728
7.5%
2119 1401
 
3.9%
2125 1307
 
3.6%
Other values (11) 2179
6.0%
ValueCountFrequency (%)
2099 2
 
< 0.1%
2101 2
 
< 0.1%
2102 6
 
< 0.1%
2104 33
0.1%
2106 14
< 0.1%
ValueCountFrequency (%)
2127 1286
 
3.5%
2126 4336
11.9%
2125 1307
 
3.6%
2124 4763
13.1%
2123 3820
10.5%

PATWSZC
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.050421325
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:24.784700image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2378706608
Coefficient of variation (CV)0.2264526197
Kurtosis36.53422693
Mean1.050421325
Median Absolute Deviation (MAD)0
Skewness5.396836058
Sum38145
Variance0.05658245129
MonotonicityNot monotonic
2024-08-10T10:49:25.031792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 34615
95.3%
2 1590
 
4.4%
3 89
 
0.2%
4 17
 
< 0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
1 34615
95.3%
2 1590
 
4.4%
3 89
 
0.2%
4 17
 
< 0.1%
5 3
 
< 0.1%
ValueCountFrequency (%)
5 3
 
< 0.1%
4 17
 
< 0.1%
3 89
 
0.2%
2 1590
 
4.4%
1 34615
95.3%

TMSJMYI
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:25.295903image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:49:25.504811image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

AOWLZQX
Real number (ℝ)

Distinct251
Distinct (%)0.7%
Missing193
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean111.6384098
Minimum1
Maximum251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:25.780801image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q149
median105
Q3170
95-th percentile234
Maximum251
Range250
Interquartile range (IQR)121

Descriptive statistics

Standard deviation71.41003956
Coefficient of variation (CV)0.6396547541
Kurtosis-1.116419818
Mean111.6384098
Median Absolute Deviation (MAD)60
Skewness0.2359960919
Sum4032491
Variance5099.393751
MonotonicityNot monotonic
2024-08-10T10:49:26.111424image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 216
 
0.6%
21 211
 
0.6%
1 210
 
0.6%
3 209
 
0.6%
8 208
 
0.6%
23 208
 
0.6%
14 207
 
0.6%
13 205
 
0.6%
9 205
 
0.6%
20 200
 
0.6%
Other values (241) 34042
93.7%
ValueCountFrequency (%)
1 210
0.6%
2 180
0.5%
3 209
0.6%
4 180
0.5%
5 163
0.4%
ValueCountFrequency (%)
251 2
 
< 0.1%
250 94
0.3%
249 107
0.3%
248 114
0.3%
247 117
0.3%

PIJMPQK
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.377558047
Minimum0
Maximum7
Zeros3954
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:26.394848image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.583675209
Coefficient of variation (CV)0.6660931836
Kurtosis-0.4604659651
Mean2.377558047
Median Absolute Deviation (MAD)1
Skewness0.436050307
Sum86322
Variance2.508027166
MonotonicityNot monotonic
2024-08-10T10:49:26.619551image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 8358
23.0%
2 8192
22.6%
3 6956
19.2%
4 4866
13.4%
0 3954
10.9%
5 2842
 
7.8%
6 935
 
2.6%
7 204
 
0.6%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 3954
10.9%
1 8358
23.0%
2 8192
22.6%
3 6956
19.2%
4 4866
13.4%
ValueCountFrequency (%)
7 204
 
0.6%
6 935
 
2.6%
5 2842
7.8%
4 4866
13.4%
3 6956
19.2%

XIITBEU
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.33012499
Minimum3.308
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:26.843683image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.32
Q13.324
median3.328
Q33.336
95-th percentile3.34
Maximum3.348
Range0.04
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007901985922
Coefficient of variation (CV)0.00237287968
Kurtosis-0.6144518718
Mean3.33012499
Median Absolute Deviation (MAD)0.008
Skewness-0.2031409095
Sum120906.848
Variance6.24413815 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:27.102918image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.324 6819
18.8%
3.328 6437
17.7%
3.34 6014
16.6%
3.336 5606
15.4%
3.332 4544
12.5%
3.32 3786
10.4%
3.344 1497
 
4.1%
3.312 1231
 
3.4%
3.316 256
 
0.7%
3.308 100
 
0.3%
ValueCountFrequency (%)
3.308 100
 
0.3%
3.312 1231
 
3.4%
3.316 256
 
0.7%
3.32 3786
10.4%
3.324 6819
18.8%
ValueCountFrequency (%)
3.348 17
 
< 0.1%
3.344 1497
 
4.1%
3.34 6014
16.6%
3.336 5606
15.4%
3.332 4544
12.5%

NLPSQAO
Real number (ℝ)

Distinct25
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.202431487
Minimum0.09
Maximum0.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:27.359656image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.09
5-th percentile0.16
Q10.19
median0.2
Q30.21
95-th percentile0.27
Maximum0.33
Range0.24
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.0294897519
Coefficient of variation (CV)0.1456776924
Kurtosis2.032068945
Mean0.202431487
Median Absolute Deviation (MAD)0.01
Skewness0.7057938203
Sum7349.68
Variance0.000869645467
MonotonicityNot monotonic
2024-08-10T10:49:27.621280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.2 7479
20.6%
0.19 6479
17.8%
0.21 5947
16.4%
0.18 4304
11.9%
0.22 2867
 
7.9%
0.17 2152
 
5.9%
0.23 1480
 
4.1%
0.27 770
 
2.1%
0.16 739
 
2.0%
0.28 672
 
1.9%
Other values (15) 3418
9.4%
ValueCountFrequency (%)
0.09 5
 
< 0.1%
0.1 26
 
0.1%
0.11 133
0.4%
0.12 174
0.5%
0.13 296
0.8%
ValueCountFrequency (%)
0.33 5
 
< 0.1%
0.32 10
 
< 0.1%
0.31 53
 
0.1%
0.3 133
 
0.4%
0.29 397
1.1%

UJTXHTS
Real number (ℝ)

Distinct27
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean40.45153827
Minimum16
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:27.872193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile32
Q138
median40
Q342
95-th percentile54
Maximum68
Range52
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.908242451
Coefficient of variation (CV)0.1460572998
Kurtosis2.056265471
Mean40.45153827
Median Absolute Deviation (MAD)2
Skewness0.679663383
Sum1468674
Variance34.90732886
MonotonicityNot monotonic
2024-08-10T10:49:28.174167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
40 7418
20.4%
38 6605
18.2%
42 5957
16.4%
36 4120
11.3%
44 2921
 
8.0%
34 2183
 
6.0%
46 1458
 
4.0%
32 817
 
2.2%
54 704
 
1.9%
52 701
 
1.9%
Other values (17) 3423
9.4%
ValueCountFrequency (%)
16 1
 
< 0.1%
18 5
 
< 0.1%
20 33
 
0.1%
22 124
0.3%
24 212
0.6%
ValueCountFrequency (%)
68 1
 
< 0.1%
66 3
 
< 0.1%
64 14
 
< 0.1%
62 45
 
0.1%
60 149
0.4%

YCWMHMB
Real number (ℝ)

Distinct182
Distinct (%)0.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1348341078
Minimum0.05976
Maximum0.220176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:28.456682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.05976
5-th percentile0.10688
Q10.12616
median0.13312
Q30.14028
95-th percentile0.179928
Maximum0.220176
Range0.160416
Interquartile range (IQR)0.01412

Descriptive statistics

Standard deviation0.01964798245
Coefficient of variation (CV)0.1457196756
Kurtosis2.043423053
Mean0.1348341078
Median Absolute Deviation (MAD)0.006992
Skewness0.6759503908
Sum4895.421952
Variance0.0003860432143
MonotonicityNot monotonic
2024-08-10T10:49:28.748959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.13296 1595
 
4.4%
0.139608 1494
 
4.1%
0.13312 1307
 
3.6%
0.126312 1241
 
3.4%
0.12692 1220
 
3.4%
0.1336 1203
 
3.3%
0.13344 1098
 
3.0%
0.126464 1062
 
2.9%
0.126768 1003
 
2.8%
0.140112 961
 
2.6%
Other values (172) 24123
66.4%
ValueCountFrequency (%)
0.05976 1
 
< 0.1%
0.059904 1
 
< 0.1%
0.059976 2
 
< 0.1%
0.0664 1
 
< 0.1%
0.06648 6
< 0.1%
ValueCountFrequency (%)
0.220176 1
 
< 0.1%
0.21376 3
< 0.1%
0.213504 7
< 0.1%
0.212992 1
 
< 0.1%
0.207328 4
< 0.1%

OISOEYC
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.325552208
Minimum3.304
Maximum3.344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:29.039367image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.32
median3.324
Q33.332
95-th percentile3.336
Maximum3.344
Range0.04
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007820205617
Coefficient of variation (CV)0.002351550999
Kurtosis-0.6281725194
Mean3.325552208
Median Absolute Deviation (MAD)0.008
Skewness-0.2087241671
Sum120740.824
Variance6.115561589 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:29.282437image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.32 7645
21.1%
3.332 6180
17.0%
3.336 5522
15.2%
3.324 5509
15.2%
3.328 4628
12.7%
3.316 4263
11.7%
3.308 1231
 
3.4%
3.34 851
 
2.3%
3.312 298
 
0.8%
3.304 178
 
0.5%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
3.304 178
 
0.5%
3.308 1231
 
3.4%
3.312 298
 
0.8%
3.316 4263
11.7%
3.32 7645
21.1%
ValueCountFrequency (%)
3.344 2
 
< 0.1%
3.34 851
 
2.3%
3.336 5522
15.2%
3.332 6180
17.0%
3.328 4628
12.7%

SQODRRP
Real number (ℝ)

Distinct73
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.451875671
Minimum1.02
Maximum1.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:29.576895image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.02
5-th percentile1.27
Q11.34
median1.43
Q31.56
95-th percentile1.69
Maximum1.96
Range0.94
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.1355777738
Coefficient of variation (CV)0.09338111828
Kurtosis-0.8440618031
Mean1.451875671
Median Absolute Deviation (MAD)0.11
Skewness0.4202513842
Sum52713.25
Variance0.01838133275
MonotonicityNot monotonic
2024-08-10T10:49:29.874047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.35 1369
 
3.8%
1.33 1321
 
3.6%
1.34 1262
 
3.5%
1.32 1247
 
3.4%
1.36 1241
 
3.4%
1.37 1151
 
3.2%
1.31 1105
 
3.0%
1.3 1036
 
2.9%
1.38 1004
 
2.8%
1.39 981
 
2.7%
Other values (63) 24590
67.7%
ValueCountFrequency (%)
1.02 1
 
< 0.1%
1.15 1
 
< 0.1%
1.18 7
 
< 0.1%
1.19 7
 
< 0.1%
1.2 31
0.1%
ValueCountFrequency (%)
1.96 1
 
< 0.1%
1.88 1
 
< 0.1%
1.86 2
 
< 0.1%
1.85 7
< 0.1%
1.84 6
< 0.1%

UAEETIT
Real number (ℝ)

Distinct74
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean290.3853802
Minimum204
Maximum390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:30.189628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum204
5-th percentile254
Q1268
median286
Q3312
95-th percentile338
Maximum390
Range186
Interquartile range (IQR)44

Descriptive statistics

Standard deviation27.11504945
Coefficient of variation (CV)0.09337608327
Kurtosis-0.8437316803
Mean290.3853802
Median Absolute Deviation (MAD)22
Skewness0.4190349584
Sum10543022
Variance735.2259065
MonotonicityNot monotonic
2024-08-10T10:49:30.499564image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266 1351
 
3.7%
268 1347
 
3.7%
270 1278
 
3.5%
264 1239
 
3.4%
274 1222
 
3.4%
272 1195
 
3.3%
262 1124
 
3.1%
260 1016
 
2.8%
276 1004
 
2.8%
278 971
 
2.7%
Other values (64) 24560
67.6%
ValueCountFrequency (%)
204 1
 
< 0.1%
232 1
 
< 0.1%
234 3
 
< 0.1%
236 2
 
< 0.1%
238 14
< 0.1%
ValueCountFrequency (%)
390 1
 
< 0.1%
378 1
 
< 0.1%
374 4
< 0.1%
370 5
< 0.1%
368 4
< 0.1%

UDQKCAP
Real number (ℝ)

Distinct600
Distinct (%)1.7%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9655118317
Minimum0.671448
Maximum1.29792
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:30.798961image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.671448
5-th percentile0.844296
Q10.88976
median0.948376
Q31.039148
95-th percentile1.12216
Maximum1.29792
Range0.626472
Interquartile range (IQR)0.149388

Descriptive statistics

Standard deviation0.09036673775
Coefficient of variation (CV)0.09359464564
Kurtosis-0.840454185
Mean0.9655118317
Median Absolute Deviation (MAD)0.069784
Skewness0.4187144506
Sum35054.83807
Variance0.008166147292
MonotonicityNot monotonic
2024-08-10T10:49:31.103836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.88312 292
 
0.8%
0.87648 291
 
0.8%
0.88976 287
 
0.8%
0.8964 284
 
0.8%
0.90304 277
 
0.8%
0.90968 261
 
0.7%
0.91632 252
 
0.7%
0.86984 238
 
0.7%
0.892976 235
 
0.6%
0.890832 231
 
0.6%
Other values (590) 33659
92.7%
ValueCountFrequency (%)
0.671448 1
 
< 0.1%
0.775944 2
< 0.1%
0.77688 1
 
< 0.1%
0.782576 3
< 0.1%
0.784464 1
 
< 0.1%
ValueCountFrequency (%)
1.29792 1
 
< 0.1%
1.244672 2
< 0.1%
1.240992 3
< 0.1%
1.236528 1
 
< 0.1%
1.23432 2
< 0.1%

GPDXQZO
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.319359022
Minimum3.296
Maximum3.336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:31.380183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.296
5-th percentile3.308
Q13.312
median3.32
Q33.328
95-th percentile3.332
Maximum3.336
Range0.04
Interquartile range (IQR)0.016

Descriptive statistics

Standard deviation0.007814172306
Coefficient of variation (CV)0.002354120858
Kurtosis-0.6267851081
Mean3.319359022
Median Absolute Deviation (MAD)0.008
Skewness-0.2099175573
Sum120515.968
Variance6.106128884 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:31.600549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.316 8288
22.8%
3.328 6771
18.6%
3.312 5793
16.0%
3.324 5364
14.8%
3.32 3741
10.3%
3.332 2705
 
7.4%
3.308 2101
 
5.8%
3.3 838
 
2.3%
3.304 657
 
1.8%
3.336 45
 
0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
3.296 4
 
< 0.1%
3.3 838
 
2.3%
3.304 657
 
1.8%
3.308 2101
 
5.8%
3.312 5793
16.0%
ValueCountFrequency (%)
3.336 45
 
0.1%
3.332 2705
 
7.4%
3.328 6771
18.6%
3.324 5364
14.8%
3.32 3741
10.3%

LOGULZS
Real number (ℝ)

Distinct70
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.141459223
Minimum2.85
Maximum3.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:31.868310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.85
5-th percentile2.95
Q13.03
median3.13
Q33.25
95-th percentile3.37
Maximum3.54
Range0.69
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.1356173861
Coefficient of variation (CV)0.04317018829
Kurtosis-0.9584225993
Mean3.141459223
Median Absolute Deviation (MAD)0.11
Skewness0.3095593826
Sum114056.96
Variance0.01839207542
MonotonicityNot monotonic
2024-08-10T10:49:32.188856image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1206
 
3.3%
3.01 1084
 
3.0%
3.02 1052
 
2.9%
2.97 1026
 
2.8%
3.04 1003
 
2.8%
2.99 993
 
2.7%
2.98 981
 
2.7%
3.06 956
 
2.6%
3.05 946
 
2.6%
3.03 936
 
2.6%
Other values (60) 26124
71.9%
ValueCountFrequency (%)
2.85 3
 
< 0.1%
2.86 5
 
< 0.1%
2.87 11
 
< 0.1%
2.88 17
 
< 0.1%
2.89 56
0.2%
ValueCountFrequency (%)
3.54 2
 
< 0.1%
3.53 3
 
< 0.1%
3.52 1
 
< 0.1%
3.51 6
< 0.1%
3.5 8
< 0.1%

GYFZSXY
Real number (ℝ)

Distinct69
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean628.278679
Minimum570
Maximum708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:32.492245image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum570
5-th percentile590
Q1606
median624
Q3650
95-th percentile674
Maximum708
Range138
Interquartile range (IQR)44

Descriptive statistics

Standard deviation27.15609384
Coefficient of variation (CV)0.04322300716
Kurtosis-0.952259464
Mean628.278679
Median Absolute Deviation (MAD)22
Skewness0.3166525599
Sum22810914
Variance737.4534326
MonotonicityNot monotonic
2024-08-10T10:49:32.769383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 1187
 
3.3%
602 1092
 
3.0%
604 1056
 
2.9%
606 1052
 
2.9%
598 1043
 
2.9%
596 999
 
2.8%
608 972
 
2.7%
616 962
 
2.6%
594 949
 
2.6%
610 939
 
2.6%
Other values (59) 26056
71.8%
ValueCountFrequency (%)
570 8
 
< 0.1%
572 6
 
< 0.1%
574 12
 
< 0.1%
576 28
0.1%
578 47
0.1%
ValueCountFrequency (%)
708 1
 
< 0.1%
704 1
 
< 0.1%
702 6
 
< 0.1%
700 12
< 0.1%
698 15
< 0.1%

OGYQNUB
Real number (ℝ)

Distinct554
Distinct (%)1.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.085654752
Minimum1.876672
Maximum2.342912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:33.126971image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.876672
5-th percentile1.9588
Q12.007696
median2.074176
Q32.1606
95-th percentile2.240376
Maximum2.342912
Range0.46624
Interquartile range (IQR)0.152904

Descriptive statistics

Standard deviation0.0914478563
Coefficient of variation (CV)0.04384611414
Kurtosis-0.9457079711
Mean2.085654752
Median Absolute Deviation (MAD)0.073128
Skewness0.315706928
Sum75723.86708
Variance0.008362710422
MonotonicityNot monotonic
2024-08-10T10:49:33.644326image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.036024 280
 
0.8%
2.016128 277
 
0.8%
2.002864 274
 
0.8%
1.996232 270
 
0.7%
2.029392 263
 
0.7%
2.042656 262
 
0.7%
2.009496 260
 
0.7%
2.02276 258
 
0.7%
1.9896 245
 
0.7%
2.049288 243
 
0.7%
Other values (544) 33675
92.7%
ValueCountFrequency (%)
1.876672 1
 
< 0.1%
1.88556 3
< 0.1%
1.88576 2
< 0.1%
1.892176 2
< 0.1%
1.8942 1
 
< 0.1%
ValueCountFrequency (%)
2.342912 3
< 0.1%
2.340096 1
 
< 0.1%
2.33728 1
 
< 0.1%
2.336256 4
< 0.1%
2.333448 2
< 0.1%

ELDKYEY
Real number (ℝ)

Distinct905
Distinct (%)2.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.24109221
Minimum24.855
Maximum31.158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:34.131111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum24.855
5-th percentile27.044
Q127.688
median28.188
Q328.793
95-th percentile29.568
Maximum31.158
Range6.303
Interquartile range (IQR)1.105

Descriptive statistics

Standard deviation0.7794151614
Coefficient of variation (CV)0.02759861961
Kurtosis-0.2510212499
Mean28.24109221
Median Absolute Deviation (MAD)0.561
Skewness0.1459710628
Sum1025349.335
Variance0.6074879938
MonotonicityNot monotonic
2024-08-10T10:49:34.660423image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.688 770
 
2.1%
27.813 621
 
1.7%
27.75 600
 
1.7%
27.625 599
 
1.6%
27.313 588
 
1.6%
27.938 579
 
1.6%
27.875 575
 
1.6%
27.5 560
 
1.5%
27.563 547
 
1.5%
27.375 537
 
1.5%
Other values (895) 30331
83.5%
ValueCountFrequency (%)
24.855 1
 
< 0.1%
25.275 4
< 0.1%
25.313 1
 
< 0.1%
25.327 1
 
< 0.1%
25.333 1
 
< 0.1%
ValueCountFrequency (%)
31.158 1
< 0.1%
31.026 1
< 0.1%
31.025 2
< 0.1%
30.969 1
< 0.1%
30.893 1
< 0.1%

LADIFWP
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.042032335
Minimum3.02
Maximum3.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:35.108979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.02
5-th percentile3.028
Q13.036
median3.04
Q33.048
95-th percentile3.056
Maximum3.06
Range0.04
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.009014317493
Coefficient of variation (CV)0.002963254988
Kurtosis-0.7035331762
Mean3.042032335
Median Absolute Deviation (MAD)0.004
Skewness0.02663466284
Sum110447.068
Variance8.125791986 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:35.476400image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.044 6949
19.1%
3.036 6859
18.9%
3.04 6497
17.9%
3.056 5090
14.0%
3.052 3222
8.9%
3.028 2682
 
7.4%
3.048 1637
 
4.5%
3.032 1572
 
4.3%
3.024 1382
 
3.8%
3.06 386
 
1.1%
ValueCountFrequency (%)
3.02 31
 
0.1%
3.024 1382
 
3.8%
3.028 2682
 
7.4%
3.032 1572
 
4.3%
3.036 6859
18.9%
ValueCountFrequency (%)
3.06 386
 
1.1%
3.056 5090
14.0%
3.052 3222
8.9%
3.048 1637
 
4.5%
3.044 6949
19.1%

RVCNNGA
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.670070455
Minimum1.648
Maximum1.692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:35.864360image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.648
5-th percentile1.656
Q11.664
median1.668
Q31.676
95-th percentile1.68
Maximum1.692
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007175967716
Coefficient of variation (CV)0.004296805381
Kurtosis-0.09580539677
Mean1.670070455
Median Absolute Deviation (MAD)0.004
Skewness-0.1092574767
Sum60635.248
Variance5.149451266 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:36.292495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.668 9129
25.1%
1.672 7516
20.7%
1.664 5335
14.7%
1.676 4510
12.4%
1.68 3804
10.5%
1.66 2389
 
6.6%
1.684 1658
 
4.6%
1.656 1119
 
3.1%
1.652 656
 
1.8%
1.688 124
 
0.3%
Other values (2) 67
 
0.2%
ValueCountFrequency (%)
1.648 65
 
0.2%
1.652 656
 
1.8%
1.656 1119
 
3.1%
1.66 2389
6.6%
1.664 5335
14.7%
ValueCountFrequency (%)
1.692 2
 
< 0.1%
1.688 124
 
0.3%
1.684 1658
 
4.6%
1.68 3804
10.5%
1.676 4510
12.4%

ETXKSTM
Real number (ℝ)

Distinct18
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean26.98190432
Minimum22
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:36.619897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile25.5
Q126
median26.5
Q328
95-th percentile29
Maximum31
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.200211966
Coefficient of variation (CV)0.0444821074
Kurtosis-0.9162049171
Mean26.98190432
Median Absolute Deviation (MAD)1
Skewness0.391747281
Sum979632
Variance1.440508763
MonotonicityNot monotonic
2024-08-10T10:49:37.018219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
26 8700
24.0%
25.5 4909
13.5%
28 4389
12.1%
27.5 4338
11.9%
26.5 4315
11.9%
28.5 3310
 
9.1%
27 2537
 
7.0%
29 2178
 
6.0%
29.5 941
 
2.6%
25 436
 
1.2%
Other values (8) 254
 
0.7%
ValueCountFrequency (%)
22 1
 
< 0.1%
23 4
 
< 0.1%
23.5 1
 
< 0.1%
24 6
 
< 0.1%
24.5 91
0.3%
ValueCountFrequency (%)
31 12
 
< 0.1%
30.5 19
 
0.1%
30 120
 
0.3%
29.5 941
2.6%
29 2178
6.0%

GVJTVXV
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.04203553
Minimum3.02
Maximum3.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:37.479501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.02
5-th percentile3.028
Q13.036
median3.04
Q33.048
95-th percentile3.056
Maximum3.06
Range0.04
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.009005696927
Coefficient of variation (CV)0.002960418061
Kurtosis-0.71138813
Mean3.04203553
Median Absolute Deviation (MAD)0.004
Skewness0.02629320144
Sum110447.184
Variance8.110257715 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:37.919887image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.044 6942
19.1%
3.036 6855
18.9%
3.04 6494
17.9%
3.056 5125
14.1%
3.052 3240
8.9%
3.028 2708
 
7.5%
3.048 1626
 
4.5%
3.032 1575
 
4.3%
3.024 1361
 
3.7%
3.06 354
 
1.0%
ValueCountFrequency (%)
3.02 27
 
0.1%
3.024 1361
 
3.7%
3.028 2708
 
7.5%
3.032 1575
 
4.3%
3.036 6855
18.9%
ValueCountFrequency (%)
3.06 354
 
1.0%
3.056 5125
14.1%
3.052 3240
8.9%
3.048 1626
 
4.5%
3.044 6942
19.1%

PJLETFT
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9233240973
Minimum0.904
Maximum0.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:38.226839image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.904
5-th percentile0.916
Q10.92
median0.924
Q30.928
95-th percentile0.936
Maximum0.94
Range0.036
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.006333584151
Coefficient of variation (CV)0.006859546035
Kurtosis-0.3736010671
Mean0.9233240973
Median Absolute Deviation (MAD)0.004
Skewness0.2529625376
Sum33523.128
Variance4.01142882 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:38.460058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.92 11387
31.4%
0.924 7998
22.0%
0.932 5011
13.8%
0.916 4666
12.8%
0.928 3472
 
9.6%
0.936 2085
 
5.7%
0.912 1054
 
2.9%
0.908 555
 
1.5%
0.94 68
 
0.2%
0.904 11
 
< 0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0.904 11
 
< 0.1%
0.908 555
 
1.5%
0.912 1054
 
2.9%
0.916 4666
12.8%
0.92 11387
31.4%
ValueCountFrequency (%)
0.94 68
 
0.2%
0.936 2085
 
5.7%
0.932 5011
13.8%
0.928 3472
9.6%
0.924 7998
22.0%

RIEGYBR
Real number (ℝ)

Distinct18
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.0011568
Minimum22
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:38.744952image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile25.5
Q126
median26.5
Q328
95-th percentile29
Maximum31
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.202937967
Coefficient of variation (CV)0.04455134927
Kurtosis-0.9142024137
Mean27.0011568
Median Absolute Deviation (MAD)1
Skewness0.3916898856
Sum980331
Variance1.447059754
MonotonicityNot monotonic
2024-08-10T10:49:38.966502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
26 8750
24.1%
25.5 4654
12.8%
26.5 4456
12.3%
28 4401
12.1%
27.5 4308
11.9%
28.5 3394
 
9.3%
27 2476
 
6.8%
29 2160
 
5.9%
29.5 1030
 
2.8%
25 411
 
1.1%
Other values (8) 267
 
0.7%
ValueCountFrequency (%)
22 1
 
< 0.1%
23 4
 
< 0.1%
23.5 1
 
< 0.1%
24 6
 
< 0.1%
24.5 84
0.2%
ValueCountFrequency (%)
31 13
 
< 0.1%
30.5 17
 
< 0.1%
30 141
 
0.4%
29.5 1030
2.8%
29 2160
5.9%

HEBFRRA
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.326959429
Minimum3.304
Maximum3.356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:39.206107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.32
median3.328
Q33.332
95-th percentile3.34
Maximum3.356
Range0.052
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007899940344
Coefficient of variation (CV)0.002374522597
Kurtosis-0.5668464292
Mean3.326959429
Median Absolute Deviation (MAD)0.008
Skewness-0.2347635151
Sum120791.916
Variance6.240905744 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:39.433914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.324 7102
19.6%
3.32 6482
17.8%
3.336 6413
17.7%
3.332 5599
15.4%
3.328 4274
11.8%
3.316 2551
 
7.0%
3.34 2329
 
6.4%
3.308 1148
 
3.2%
3.312 345
 
1.0%
3.344 34
 
0.1%
Other values (2) 30
 
0.1%
ValueCountFrequency (%)
3.304 28
 
0.1%
3.308 1148
 
3.2%
3.312 345
 
1.0%
3.316 2551
 
7.0%
3.32 6482
17.8%
ValueCountFrequency (%)
3.356 2
 
< 0.1%
3.344 34
 
0.1%
3.34 2329
 
6.4%
3.336 6413
17.7%
3.332 5599
15.4%

IROKFNR
Real number (ℝ)

Distinct32
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.071166166
Minimum0.93
Maximum1.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:39.690151image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.93
5-th percentile1.02
Q11.05
median1.07
Q31.09
95-th percentile1.14
Maximum1.24
Range0.31
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.03735395901
Coefficient of variation (CV)0.03487223569
Kurtosis1.031318016
Mean1.071166166
Median Absolute Deviation (MAD)0.02
Skewness0.6821022294
Sum38890.83
Variance0.001395318254
MonotonicityNot monotonic
2024-08-10T10:49:39.932648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.06 4451
12.3%
1.07 4123
11.4%
1.08 3769
10.4%
1.05 3731
10.3%
1.04 3308
9.1%
1.09 3111
8.6%
1.03 2506
6.9%
1.1 2496
6.9%
1.11 1772
 
4.9%
1.02 1628
 
4.5%
Other values (22) 5412
14.9%
ValueCountFrequency (%)
0.93 1
 
< 0.1%
0.94 9
< 0.1%
0.95 4
 
< 0.1%
0.96 17
< 0.1%
0.97 21
0.1%
ValueCountFrequency (%)
1.24 3
 
< 0.1%
1.23 10
 
< 0.1%
1.22 28
 
0.1%
1.21 54
0.1%
1.2 111
0.3%

GMLIQMK
Real number (ℝ)

Distinct31
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean214.2305341
Minimum186
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:40.211300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum186
5-th percentile204
Q1210
median214
Q3218
95-th percentile228
Maximum246
Range60
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.478798012
Coefficient of variation (CV)0.034910047
Kurtosis1.005313543
Mean214.2305341
Median Absolute Deviation (MAD)4
Skewness0.6687356054
Sum7778068
Variance55.93241971
MonotonicityNot monotonic
2024-08-10T10:49:40.454800image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
212 4415
12.2%
214 4054
11.2%
216 3706
10.2%
210 3698
10.2%
208 3396
9.4%
218 3166
8.7%
220 2590
7.1%
206 2482
6.8%
222 1737
 
4.8%
204 1669
 
4.6%
Other values (21) 5394
14.9%
ValueCountFrequency (%)
186 3
 
< 0.1%
188 6
 
< 0.1%
190 4
 
< 0.1%
192 22
0.1%
194 22
0.1%
ValueCountFrequency (%)
246 14
 
< 0.1%
244 22
 
0.1%
242 68
0.2%
240 97
0.3%
238 150
0.4%

PLSHZWK
Real number (ℝ)

Distinct223
Distinct (%)0.6%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.7126149994
Minimum0.619752
Maximum0.827328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:40.750945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.619752
5-th percentile0.67728
Q10.69468
median0.71048
Q30.727248
95-th percentile0.758784
Maximum0.827328
Range0.207576
Interquartile range (IQR)0.032568

Descriptive statistics

Standard deviation0.02544194599
Coefficient of variation (CV)0.03570223193
Kurtosis0.9806364944
Mean0.7126149994
Median Absolute Deviation (MAD)0.015896
Skewness0.6811940296
Sum25872.91278
Variance0.0006472926157
MonotonicityNot monotonic
2024-08-10T10:49:41.035404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.704688 1004
 
2.8%
0.711336 919
 
2.5%
0.6972 858
 
2.4%
0.70384 849
 
2.3%
0.717984 839
 
2.3%
0.69804 794
 
2.2%
0.71048 793
 
2.2%
0.706384 728
 
2.0%
0.69056 723
 
2.0%
0.724632 699
 
1.9%
Other values (213) 28101
77.4%
ValueCountFrequency (%)
0.619752 2
 
< 0.1%
0.620496 2
 
< 0.1%
0.626416 6
< 0.1%
0.627168 4
< 0.1%
0.63156 2
 
< 0.1%
ValueCountFrequency (%)
0.827328 2
< 0.1%
0.826336 1
 
< 0.1%
0.820656 3
< 0.1%
0.819672 4
< 0.1%
0.81496 1
 
< 0.1%

FTFSHCI
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.313459443
Minimum3.288
Maximum3.332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:41.306825image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.288
5-th percentile3.304
Q13.308
median3.312
Q33.32
95-th percentile3.324
Maximum3.332
Range0.044
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007767277988
Coefficient of variation (CV)0.002344159668
Kurtosis-0.6809583363
Mean3.313459443
Median Absolute Deviation (MAD)0.008
Skewness-0.1856407531
Sum120301.772
Variance6.033060734 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:41.534521image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.308 7584
20.9%
3.32 6748
18.6%
3.312 5732
15.8%
3.324 5149
14.2%
3.304 4410
12.1%
3.316 4143
11.4%
3.296 1232
 
3.4%
3.328 804
 
2.2%
3.3 387
 
1.1%
3.292 113
 
0.3%
Other values (2) 5
 
< 0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
3.288 2
 
< 0.1%
3.292 113
 
0.3%
3.296 1232
 
3.4%
3.3 387
 
1.1%
3.304 4410
12.1%
ValueCountFrequency (%)
3.332 3
 
< 0.1%
3.328 804
 
2.2%
3.324 5149
14.2%
3.32 6748
18.6%
3.316 4143
11.4%

NRKKRBK
Real number (ℝ)

Distinct142
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.747215688
Minimum4.16
Maximum5.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:41.810565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.16
5-th percentile4.39
Q14.5
median4.64
Q35.05
95-th percentile5.25
Maximum5.61
Range1.45
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation0.3021016669
Coefficient of variation (CV)0.06363765346
Kurtosis-1.013518752
Mean4.747215688
Median Absolute Deviation (MAD)0.19
Skewness0.5641030175
Sum172357.16
Variance0.09126541712
MonotonicityNot monotonic
2024-08-10T10:49:42.100509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.49 839
 
2.3%
4.48 815
 
2.2%
4.5 792
 
2.2%
4.47 763
 
2.1%
4.46 757
 
2.1%
4.51 731
 
2.0%
4.44 730
 
2.0%
4.53 715
 
2.0%
4.45 711
 
2.0%
4.43 690
 
1.9%
Other values (132) 28764
79.2%
ValueCountFrequency (%)
4.16 1
 
< 0.1%
4.2 1
 
< 0.1%
4.21 4
< 0.1%
4.22 1
 
< 0.1%
4.23 5
< 0.1%
ValueCountFrequency (%)
5.61 1
 
< 0.1%
5.6 4
< 0.1%
5.58 1
 
< 0.1%
5.57 1
 
< 0.1%
5.56 3
< 0.1%

BGPVFMN
Real number (ℝ)

Distinct143
Distinct (%)0.4%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean949.4302476
Minimum828
Maximum1126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:42.417071image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum828
5-th percentile878
Q1900
median928
Q31010
95-th percentile1050
Maximum1126
Range298
Interquartile range (IQR)110

Descriptive statistics

Standard deviation60.44137636
Coefficient of variation (CV)0.06366068125
Kurtosis-1.015358181
Mean949.4302476
Median Absolute Deviation (MAD)38
Skewness0.5646075393
Sum34470964
Variance3653.159976
MonotonicityNot monotonic
2024-08-10T10:49:42.711621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
898 841
 
2.3%
900 820
 
2.3%
896 818
 
2.3%
892 801
 
2.2%
894 748
 
2.1%
890 718
 
2.0%
902 708
 
1.9%
906 707
 
1.9%
888 696
 
1.9%
908 694
 
1.9%
Other values (133) 28756
79.2%
ValueCountFrequency (%)
828 1
< 0.1%
838 2
< 0.1%
840 2
< 0.1%
842 2
< 0.1%
844 2
< 0.1%
ValueCountFrequency (%)
1126 2
< 0.1%
1124 1
< 0.1%
1122 2
< 0.1%
1114 1
< 0.1%
1112 2
< 0.1%

DXWRFDA
Real number (ℝ)

Distinct1077
Distinct (%)3.0%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.145839281
Minimum2.742336
Maximum3.71392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:43.007493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.742336
5-th percentile2.905176
Q12.978304
median3.07432
Q33.347696
95-th percentile3.47936
Maximum3.71392
Range0.971584
Interquartile range (IQR)0.369392

Descriptive statistics

Standard deviation0.2011527454
Coefficient of variation (CV)0.06394247369
Kurtosis-1.005883785
Mean3.145839281
Median Absolute Deviation (MAD)0.127152
Skewness0.5624720915
Sum114215.9868
Variance0.040462427
MonotonicityNot monotonic
2024-08-10T10:49:43.318903image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9772 188
 
0.5%
2.997048 184
 
0.5%
2.970584 180
 
0.5%
2.990432 176
 
0.5%
3.016896 172
 
0.5%
3.023512 165
 
0.5%
2.96144 165
 
0.5%
2.950736 165
 
0.5%
2.983816 160
 
0.4%
3.01392 158
 
0.4%
Other values (1067) 34594
95.3%
ValueCountFrequency (%)
2.742336 1
< 0.1%
2.772104 2
< 0.1%
2.781968 2
< 0.1%
2.788416 1
< 0.1%
2.795184 1
< 0.1%
ValueCountFrequency (%)
3.71392 1
 
< 0.1%
3.70512 2
< 0.1%
3.70048 2
< 0.1%
3.68964 1
 
< 0.1%
3.6852 3
< 0.1%

CRYLNZI
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:43.573186image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36310
Variance0
MonotonicityIncreasing
2024-08-10T10:49:43.785156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36310
> 99.9%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
1 36310
> 99.9%
ValueCountFrequency (%)
1 36310
> 99.9%

MRDZBFN
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:43.988978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36310
Variance0
MonotonicityIncreasing
2024-08-10T10:49:44.194312image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36310
> 99.9%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
1 36310
> 99.9%
ValueCountFrequency (%)
1 36310
> 99.9%

SRZFXSA
Real number (ℝ)

Distinct59
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.752372435
Minimum9.468
Maximum10.074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:44.450956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.468
5-th percentile9.585
Q19.68
median9.752
Q39.801
95-th percentile9.948
Maximum10.074
Range0.606
Interquartile range (IQR)0.121

Descriptive statistics

Standard deviation0.1073979703
Coefficient of variation (CV)0.01101249681
Kurtosis-0.2868395591
Mean9.752372435
Median Absolute Deviation (MAD)0.072
Skewness0.2913392141
Sum354079.386
Variance0.01153432402
MonotonicityNot monotonic
2024-08-10T10:49:44.774708image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.777 2668
 
7.3%
9.801 2608
 
7.2%
9.752 2546
 
7.0%
9.633 2137
 
5.9%
9.753 2087
 
5.7%
9.68 1899
 
5.2%
9.704 1802
 
5.0%
9.728 1480
 
4.1%
9.729 1454
 
4.0%
9.656 1397
 
3.8%
Other values (49) 16229
44.7%
ValueCountFrequency (%)
9.468 2
 
< 0.1%
9.491 9
 
< 0.1%
9.514 24
 
0.1%
9.515 102
 
0.3%
9.538 387
1.1%
ValueCountFrequency (%)
10.074 12
 
< 0.1%
10.05 26
 
0.1%
10.048 2
 
< 0.1%
10.025 1
 
< 0.1%
10.024 332
0.9%

VTLKBMI
Real number (ℝ)

Distinct211
Distinct (%)0.6%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean7.944472471
Minimum7.599
Maximum8.326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:45.077940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.599
5-th percentile7.747
Q17.83
median7.924
Q38.057
95-th percentile8.174
Maximum8.326
Range0.727
Interquartile range (IQR)0.227

Descriptive statistics

Standard deviation0.1354981633
Coefficient of variation (CV)0.01705565269
Kurtosis-0.8554433668
Mean7.944472471
Median Absolute Deviation (MAD)0.1
Skewness0.2731330996
Sum288439.962
Variance0.01835975225
MonotonicityNot monotonic
2024-08-10T10:49:45.377449image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.845 1661
 
4.6%
8.008 1345
 
3.7%
7.908 1202
 
3.3%
7.869 1151
 
3.2%
7.924 1127
 
3.1%
7.824 1076
 
3.0%
7.785 1075
 
3.0%
8.091 1017
 
2.8%
7.806 916
 
2.5%
8.113 848
 
2.3%
Other values (201) 24889
68.5%
ValueCountFrequency (%)
7.599 1
 
< 0.1%
7.637 9
 
< 0.1%
7.642 30
0.1%
7.663 1
 
< 0.1%
7.668 64
0.2%
ValueCountFrequency (%)
8.326 13
 
< 0.1%
8.314 19
 
0.1%
8.291 6
 
< 0.1%
8.285 77
0.2%
8.284 1
 
< 0.1%

WROOIFH
Real number (ℝ)

Distinct96
Distinct (%)0.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.294225659
Minimum3.245
Maximum3.345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:45.696743image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.245
5-th percentile3.272
Q13.285
median3.294
Q33.303
95-th percentile3.316
Maximum3.345
Range0.1
Interquartile range (IQR)0.018

Descriptive statistics

Standard deviation0.01333132337
Coefficient of variation (CV)0.004046876184
Kurtosis-0.1052501041
Mean3.294225659
Median Absolute Deviation (MAD)0.009
Skewness-0.003337656519
Sum119603.451
Variance0.0001777241827
MonotonicityNot monotonic
2024-08-10T10:49:46.025997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.295 1177
 
3.2%
3.293 1131
 
3.1%
3.291 1096
 
3.0%
3.298 1079
 
3.0%
3.288 1064
 
2.9%
3.296 1047
 
2.9%
3.294 1040
 
2.9%
3.29 1037
 
2.9%
3.3 1033
 
2.8%
3.302 1007
 
2.8%
Other values (86) 25596
70.5%
ValueCountFrequency (%)
3.245 1
 
< 0.1%
3.246 3
 
< 0.1%
3.25 4
 
< 0.1%
3.251 2
 
< 0.1%
3.252 14
< 0.1%
ValueCountFrequency (%)
3.345 1
 
< 0.1%
3.342 5
< 0.1%
3.341 3
< 0.1%
3.34 3
< 0.1%
3.339 4
< 0.1%

HOVFLAR
Real number (ℝ)

Distinct37
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.147878536
Minimum1.131
Maximum1.208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:46.327079image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.131
5-th percentile1.141
Q11.145
median1.148
Q31.151
95-th percentile1.155
Maximum1.208
Range0.077
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.004417624514
Coefficient of variation (CV)0.00384851217
Kurtosis0.8009933403
Mean1.147878536
Median Absolute Deviation (MAD)0.003
Skewness0.01543622613
Sum41676.026
Variance1.951540635 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:46.622753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1.148 3673
 
10.1%
1.15 3170
 
8.7%
1.146 3018
 
8.3%
1.149 2839
 
7.8%
1.147 2801
 
7.7%
1.145 2677
 
7.4%
1.151 2669
 
7.3%
1.153 2064
 
5.7%
1.143 2006
 
5.5%
1.144 1932
 
5.3%
Other values (27) 9458
26.0%
ValueCountFrequency (%)
1.131 2
 
< 0.1%
1.132 4
 
< 0.1%
1.133 13
 
< 0.1%
1.134 12
 
< 0.1%
1.135 36
0.1%
ValueCountFrequency (%)
1.208 1
 
< 0.1%
1.166 1
 
< 0.1%
1.165 2
 
< 0.1%
1.164 1
 
< 0.1%
1.163 6
< 0.1%

YVZKQBW
Real number (ℝ)

Distinct89
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.285614923
Minimum3.239
Maximum3.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:46.991429image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.239
5-th percentile3.265
Q13.277
median3.286
Q33.294
95-th percentile3.307
Maximum3.34
Range0.101
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01266222908
Coefficient of variation (CV)0.003853838437
Kurtosis-0.1639227868
Mean3.285614923
Median Absolute Deviation (MAD)0.009
Skewness0.04044005273
Sum119290.821
Variance0.0001603320453
MonotonicityNot monotonic
2024-08-10T10:49:47.294289image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.285 1188
 
3.3%
3.283 1142
 
3.1%
3.29 1135
 
3.1%
3.288 1123
 
3.1%
3.291 1106
 
3.0%
3.286 1097
 
3.0%
3.281 1082
 
3.0%
3.293 1071
 
2.9%
3.284 1059
 
2.9%
3.289 1046
 
2.9%
Other values (79) 25258
69.6%
ValueCountFrequency (%)
3.239 1
 
< 0.1%
3.242 3
 
< 0.1%
3.243 3
 
< 0.1%
3.246 4
< 0.1%
3.247 9
< 0.1%
ValueCountFrequency (%)
3.34 1
 
< 0.1%
3.33 1
 
< 0.1%
3.329 6
< 0.1%
3.328 4
< 0.1%
3.327 6
< 0.1%

BZYFPMM
Real number (ℝ)

Distinct28
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9558645716
Minimum0.943
Maximum1.004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:47.577126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.943
5-th percentile0.95
Q10.954
median0.956
Q30.958
95-th percentile0.961
Maximum1.004
Range0.061
Interquartile range (IQR)0.004

Descriptive statistics

Standard deviation0.003425349916
Coefficient of variation (CV)0.00358350965
Kurtosis2.911816441
Mean0.9558645716
Median Absolute Deviation (MAD)0.002
Skewness0.119068277
Sum34704.575
Variance1.173302205 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:47.833620image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.957 4162
11.5%
0.956 4113
11.3%
0.955 4004
11.0%
0.958 3750
10.3%
0.954 3469
9.6%
0.959 2852
7.9%
0.953 2780
7.7%
0.952 2260
6.2%
0.96 2159
5.9%
0.951 1491
 
4.1%
Other values (18) 5267
14.5%
ValueCountFrequency (%)
0.943 3
 
< 0.1%
0.944 9
 
< 0.1%
0.945 21
 
0.1%
0.946 66
 
0.2%
0.947 166
0.5%
ValueCountFrequency (%)
1.004 2
 
< 0.1%
1.003 1
 
< 0.1%
0.969 2
 
< 0.1%
0.967 8
< 0.1%
0.966 19
0.1%

JQXEEPS
Real number (ℝ)

Distinct49
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.797038395
Minimum1.769
Maximum1.825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:48.207735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.769
5-th percentile1.788
Q11.793
median1.797
Q31.801
95-th percentile1.806
Maximum1.825
Range0.056
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.005664742685
Coefficient of variation (CV)0.003152265807
Kurtosis0.05049879855
Mean1.797038395
Median Absolute Deviation (MAD)0.004
Skewness0.03733998365
Sum65245.073
Variance3.208930969 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:48.626390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1.796 2771
 
7.6%
1.799 2622
 
7.2%
1.795 2490
 
6.9%
1.798 2332
 
6.4%
1.8 2311
 
6.4%
1.797 2309
 
6.4%
1.794 2219
 
6.1%
1.793 1896
 
5.2%
1.802 1758
 
4.8%
1.801 1756
 
4.8%
Other values (39) 13843
38.1%
ValueCountFrequency (%)
1.769 1
 
< 0.1%
1.772 1
 
< 0.1%
1.776 3
< 0.1%
1.777 2
 
< 0.1%
1.778 5
< 0.1%
ValueCountFrequency (%)
1.825 3
 
< 0.1%
1.824 1
 
< 0.1%
1.821 1
 
< 0.1%
1.819 1
 
< 0.1%
1.818 8
< 0.1%

NVITMSQ
Real number (ℝ)

Distinct33
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.153822348
Minimum1.137
Maximum1.169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:49.046714image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.137
5-th percentile1.147
Q11.151
median1.154
Q31.157
95-th percentile1.161
Maximum1.169
Range0.032
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.00417678707
Coefficient of variation (CV)0.003619956812
Kurtosis-0.1302730139
Mean1.153822348
Median Absolute Deviation (MAD)0.003
Skewness-0.09011709073
Sum41891.828
Variance1.744555023 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:49.566287image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1.156 3787
10.4%
1.154 3624
10.0%
1.153 3416
 
9.4%
1.151 3039
 
8.4%
1.155 2802
 
7.7%
1.152 2654
 
7.3%
1.158 2458
 
6.8%
1.157 2224
 
6.1%
1.15 1933
 
5.3%
1.149 1769
 
4.9%
Other values (23) 8601
23.7%
ValueCountFrequency (%)
1.137 1
 
< 0.1%
1.138 2
 
< 0.1%
1.139 3
 
< 0.1%
1.14 14
< 0.1%
1.141 24
0.1%
ValueCountFrequency (%)
1.169 1
 
< 0.1%
1.168 9
 
< 0.1%
1.167 11
 
< 0.1%
1.166 52
0.1%
1.165 60
0.2%

PJGXCUT
Real number (ℝ)

Distinct50
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9453026414
Minimum0.928
Maximum0.977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:50.025111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.928
5-th percentile0.935
Q10.939
median0.946
Q30.95
95-th percentile0.956
Maximum0.977
Range0.049
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.006854482503
Coefficient of variation (CV)0.007251098435
Kurtosis-0.1959777912
Mean0.9453026414
Median Absolute Deviation (MAD)0.005
Skewness0.2967473776
Sum34321.103
Variance4.698393039 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:50.499759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.948 2156
 
5.9%
0.949 2063
 
5.7%
0.947 2008
 
5.5%
0.95 1938
 
5.3%
0.937 1892
 
5.2%
0.938 1864
 
5.1%
0.939 1850
 
5.1%
0.946 1836
 
5.1%
0.951 1772
 
4.9%
0.94 1755
 
4.8%
Other values (40) 17173
47.3%
ValueCountFrequency (%)
0.928 3
 
< 0.1%
0.929 5
 
< 0.1%
0.93 21
 
0.1%
0.931 50
 
0.1%
0.932 140
0.4%
ValueCountFrequency (%)
0.977 1
 
< 0.1%
0.976 3
 
< 0.1%
0.975 2
 
< 0.1%
0.974 3
 
< 0.1%
0.973 11
< 0.1%

ATSLHPA
Real number (ℝ)

Distinct48
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.6521453163
Minimum0.63
Maximum0.677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:51.005183image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.63
5-th percentile0.64
Q10.646
median0.654
Q30.657
95-th percentile0.665
Maximum0.677
Range0.047
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.007335566492
Coefficient of variation (CV)0.01124836184
Kurtosis-0.1128546482
Mean0.6521453163
Median Absolute Deviation (MAD)0.004
Skewness0.04622768718
Sum23677.44
Variance5.381053575 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:51.552781image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.655 3411
 
9.4%
0.656 2973
 
8.2%
0.657 2635
 
7.3%
0.654 2533
 
7.0%
0.653 1922
 
5.3%
0.658 1838
 
5.1%
0.644 1327
 
3.7%
0.652 1289
 
3.5%
0.646 1271
 
3.5%
0.647 1243
 
3.4%
Other values (38) 15865
43.7%
ValueCountFrequency (%)
0.63 1
 
< 0.1%
0.631 4
 
< 0.1%
0.632 4
 
< 0.1%
0.633 17
< 0.1%
0.634 32
0.1%
ValueCountFrequency (%)
0.677 4
 
< 0.1%
0.676 4
 
< 0.1%
0.675 17
 
< 0.1%
0.674 35
0.1%
0.673 76
0.2%

FTMZZVG
Real number (ℝ)

Distinct63
Distinct (%)0.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.720112347
Minimum5.454
Maximum6.048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:52.077392image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.454
5-th percentile5.531
Q15.615
median5.7
Q35.838
95-th percentile5.939
Maximum6.048
Range0.594
Interquartile range (IQR)0.223

Descriptive statistics

Standard deviation0.1221833969
Coefficient of variation (CV)0.02136031418
Kurtosis-0.8962325077
Mean5.720112347
Median Absolute Deviation (MAD)0.092
Skewness0.2930439087
Sum207680.119
Variance0.01492878248
MonotonicityNot monotonic
2024-08-10T10:49:52.618912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.615 2837
 
7.8%
5.67 2560
 
7.0%
5.593 2333
 
6.4%
5.777 2055
 
5.7%
5.7 1702
 
4.7%
5.854 1592
 
4.4%
5.531 1320
 
3.6%
5.877 1273
 
3.5%
5.586 1268
 
3.5%
5.862 1206
 
3.3%
Other values (53) 18161
50.0%
ValueCountFrequency (%)
5.454 49
 
0.1%
5.462 18
 
< 0.1%
5.502 5
 
< 0.1%
5.509 395
1.1%
5.517 102
 
0.3%
ValueCountFrequency (%)
6.048 2
 
< 0.1%
6.04 45
 
0.1%
6.032 2
 
< 0.1%
6.024 140
0.4%
6.016 20
 
0.1%

FFRECAD
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.437739279 × 10-5
Minimum0
Maximum0.001
Zeros35785
Zeros (%)98.5%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:53.135153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.001
Range0.001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001190423189
Coefficient of variation (CV)8.279826572
Kurtosis64.5772851
Mean1.437739279 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.159272505
Sum0.522
Variance1.417107368 × 10-8
MonotonicityNot monotonic
2024-08-10T10:49:53.425115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 35785
98.5%
0.001 522
 
1.4%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 35785
98.5%
0.001 522
 
1.4%
ValueCountFrequency (%)
0.001 522
 
1.4%
0 35785
98.5%

THFGWMH
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.437739279 × 10-5
Minimum0
Maximum0.005
Zeros35790
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:53.620836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.005
Range0.005
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001215608248
Coefficient of variation (CV)8.454997827
Kurtosis138.2228097
Mean1.437739279 × 10-5
Median Absolute Deviation (MAD)0
Skewness9.580147412
Sum0.522
Variance1.477703413 × 10-8
MonotonicityNot monotonic
2024-08-10T10:49:53.837133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 35790
98.6%
0.001 515
 
1.4%
0.005 1
 
< 0.1%
0.002 1
 
< 0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 35790
98.6%
0.001 515
 
1.4%
0.002 1
 
< 0.1%
0.005 1
 
< 0.1%
ValueCountFrequency (%)
0.005 1
 
< 0.1%
0.002 1
 
< 0.1%
0.001 515
 
1.4%
0 35790
98.6%

PZYGETW
Real number (ℝ)

Distinct412
Distinct (%)1.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.912276971
Minimum4.443
Maximum5.231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:54.117585image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.443
5-th percentile4.509
Q14.553
median5.097
Q35.127
95-th percentile5.159
Maximum5.231
Range0.788
Interquartile range (IQR)0.574

Descriptive statistics

Standard deviation0.2792707325
Coefficient of variation (CV)0.05685158515
Kurtosis-1.60606976
Mean4.912276971
Median Absolute Deviation (MAD)0.045
Skewness-0.5918827679
Sum178350.04
Variance0.07799214204
MonotonicityNot monotonic
2024-08-10T10:49:54.429974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.13 446
 
1.2%
5.124 443
 
1.2%
5.106 440
 
1.2%
5.109 419
 
1.2%
5.118 415
 
1.1%
5.115 412
 
1.1%
5.121 412
 
1.1%
5.127 401
 
1.1%
5.119 400
 
1.1%
5.113 375
 
1.0%
Other values (402) 32144
88.5%
ValueCountFrequency (%)
4.443 1
< 0.1%
4.445 1
< 0.1%
4.447 1
< 0.1%
4.453 1
< 0.1%
4.455 1
< 0.1%
ValueCountFrequency (%)
5.231 1
 
< 0.1%
5.222 1
 
< 0.1%
5.219 2
< 0.1%
5.217 3
< 0.1%
5.214 1
 
< 0.1%

WBCMBKW
Real number (ℝ)

Distinct52
Distinct (%)0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.79518126
Minimum1.767
Maximum1.819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:54.737485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.767
5-th percentile1.784
Q11.791
median1.795
Q31.8
95-th percentile1.806
Maximum1.819
Range0.052
Interquartile range (IQR)0.009

Descriptive statistics

Standard deviation0.006486892167
Coefficient of variation (CV)0.00361350261
Kurtosis-0.04898933082
Mean1.79518126
Median Absolute Deviation (MAD)0.004
Skewness-0.05446908129
Sum65177.646
Variance4.207976999 × 10-5
MonotonicityNot monotonic
2024-08-10T10:49:55.041545image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.796 2343
 
6.5%
1.795 2302
 
6.3%
1.793 2067
 
5.7%
1.799 2055
 
5.7%
1.798 2009
 
5.5%
1.794 2003
 
5.5%
1.791 1966
 
5.4%
1.792 1953
 
5.4%
1.797 1870
 
5.1%
1.8 1788
 
4.9%
Other values (42) 15951
43.9%
ValueCountFrequency (%)
1.767 2
< 0.1%
1.769 2
< 0.1%
1.77 2
< 0.1%
1.771 2
< 0.1%
1.772 4
< 0.1%
ValueCountFrequency (%)
1.819 1
 
< 0.1%
1.818 3
 
< 0.1%
1.817 13
< 0.1%
1.816 9
< 0.1%
1.815 13
< 0.1%

YIDCRAN
Real number (ℝ)

Distinct186
Distinct (%)0.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.602709973
Minimum3.504
Maximum3.707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:55.358827image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.504
5-th percentile3.5543
Q13.578
median3.599
Q33.627
95-th percentile3.659
Maximum3.707
Range0.203
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.03233543994
Coefficient of variation (CV)0.008975310301
Kurtosis-0.6357702223
Mean3.602709973
Median Absolute Deviation (MAD)0.024
Skewness0.2505681763
Sum130803.591
Variance0.001045580676
MonotonicityNot monotonic
2024-08-10T10:49:55.681142image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.599 565
 
1.6%
3.591 511
 
1.4%
3.583 503
 
1.4%
3.58 491
 
1.4%
3.61 482
 
1.3%
3.594 481
 
1.3%
3.602 479
 
1.3%
3.596 479
 
1.3%
3.621 472
 
1.3%
3.613 464
 
1.3%
Other values (176) 31380
86.4%
ValueCountFrequency (%)
3.504 1
< 0.1%
3.513 1
< 0.1%
3.516 1
< 0.1%
3.518 2
< 0.1%
3.519 2
< 0.1%
ValueCountFrequency (%)
3.707 2
< 0.1%
3.702 1
 
< 0.1%
3.7 3
< 0.1%
3.699 3
< 0.1%
3.696 4
< 0.1%

UMJYMGD
Real number (ℝ)

Distinct98
Distinct (%)0.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.210340651
Minimum3.159
Maximum3.264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:55.981014image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.159
5-th percentile3.189
Q13.202
median3.211
Q33.219
95-th percentile3.231
Maximum3.264
Range0.105
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01301465221
Coefficient of variation (CV)0.004053978572
Kurtosis-0.1041206346
Mean3.210340651
Median Absolute Deviation (MAD)0.009
Skewness-0.06389669659
Sum116557.838
Variance0.0001693811721
MonotonicityNot monotonic
2024-08-10T10:49:56.303518image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.211 1265
 
3.5%
3.212 1216
 
3.3%
3.215 1175
 
3.2%
3.213 1152
 
3.2%
3.214 1083
 
3.0%
3.209 1067
 
2.9%
3.21 1043
 
2.9%
3.207 1042
 
2.9%
3.208 1037
 
2.9%
3.206 1023
 
2.8%
Other values (88) 25204
69.4%
ValueCountFrequency (%)
3.159 1
 
< 0.1%
3.163 2
 
< 0.1%
3.164 5
< 0.1%
3.165 1
 
< 0.1%
3.166 1
 
< 0.1%
ValueCountFrequency (%)
3.264 1
 
< 0.1%
3.258 1
 
< 0.1%
3.257 2
< 0.1%
3.256 4
< 0.1%
3.255 1
 
< 0.1%

NQQYONU
Real number (ℝ)

Distinct104
Distinct (%)0.3%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.27157617
Minimum3.216
Maximum3.341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:56.615234image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.216
5-th percentile3.249
Q13.262
median3.272
Q33.281
95-th percentile3.295
Maximum3.341
Range0.125
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.0140678234
Coefficient of variation (CV)0.004300014019
Kurtosis-0.116435286
Mean3.27157617
Median Absolute Deviation (MAD)0.01
Skewness0.04204866216
Sum118781.116
Variance0.0001979036551
MonotonicityNot monotonic
2024-08-10T10:49:56.928182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.272 1082
 
3.0%
3.27 1071
 
2.9%
3.269 1051
 
2.9%
3.268 1050
 
2.9%
3.275 1037
 
2.9%
3.266 1034
 
2.8%
3.273 1031
 
2.8%
3.277 977
 
2.7%
3.271 968
 
2.7%
3.276 914
 
2.5%
Other values (94) 26092
71.9%
ValueCountFrequency (%)
3.216 1
< 0.1%
3.217 1
< 0.1%
3.22 1
< 0.1%
3.221 1
< 0.1%
3.223 1
< 0.1%
ValueCountFrequency (%)
3.341 2
< 0.1%
3.327 3
< 0.1%
3.324 2
< 0.1%
3.322 1
 
< 0.1%
3.32 4
< 0.1%

ACEFRZA
Real number (ℝ)

Distinct1165
Distinct (%)3.2%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean39.42032564
Minimum34.68806784
Maximum43.1875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:57.243148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum34.68806784
5-th percentile37.53322314
Q138.53583916
median39.36308673
Q340.3125
95-th percentile41.375
Maximum43.1875
Range8.499432162
Interquartile range (IQR)1.776660839

Descriptive statistics

Standard deviation1.207294509
Coefficient of variation (CV)0.0306261932
Kurtosis-0.4347726241
Mean39.42032564
Median Absolute Deviation (MAD)0.8869132681
Skewness0.05223512846
Sum1431233.763
Variance1.457560031
MonotonicityNot monotonic
2024-08-10T10:49:57.538846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.0625 504
 
1.4%
40.5 479
 
1.3%
40.4375 432
 
1.2%
41.125 429
 
1.2%
41.1875 409
 
1.1%
40.6875 388
 
1.1%
40.375 387
 
1.1%
40.5625 382
 
1.1%
40.8125 378
 
1.0%
40.875 369
 
1.0%
Other values (1155) 32150
88.5%
ValueCountFrequency (%)
34.68806784 1
< 0.1%
34.81615675 1
< 0.1%
34.91437376 1
< 0.1%
34.9435128 1
< 0.1%
35.25186289 1
< 0.1%
ValueCountFrequency (%)
43.1875 2
 
< 0.1%
43.125 1
 
< 0.1%
42.9375 1
 
< 0.1%
42.8125 5
< 0.1%
42.75 3
< 0.1%

NTYHQRF
Real number (ℝ)

Distinct10349
Distinct (%)28.5%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.186999653
Minimum0.6152202189
Maximum7.375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:57.820108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.6152202189
5-th percentile2.355084691
Q13.271068897
median4.099912895
Q35.183463099
95-th percentile6.125
Maximum7.375
Range6.759779781
Interquartile range (IQR)1.912394202

Descriptive statistics

Standard deviation1.184200207
Coefficient of variation (CV)0.2828278732
Kurtosis-0.8750789623
Mean4.186999653
Median Absolute Deviation (MAD)0.9228777701
Skewness0.07781194943
Sum152017.3964
Variance1.40233013
MonotonicityNot monotonic
2024-08-10T10:49:58.111741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.75 487
 
1.3%
5.625 469
 
1.3%
5.9375 452
 
1.2%
5.5 450
 
1.2%
5.8125 437
 
1.2%
5.5625 429
 
1.2%
5.4375 427
 
1.2%
5.875 427
 
1.2%
5.375 425
 
1.2%
5.6875 423
 
1.2%
Other values (10339) 31881
87.8%
ValueCountFrequency (%)
0.6152202189 1
< 0.1%
0.7984189723 1
< 0.1%
0.8409234212 1
< 0.1%
0.9320516342 1
< 0.1%
0.9701639243 1
< 0.1%
ValueCountFrequency (%)
7.375 1
 
< 0.1%
7.1875 2
 
< 0.1%
7.125 4
 
< 0.1%
7.0625 9
< 0.1%
7 10
< 0.1%

ZSCIZXU
Real number (ℝ)

ZEROS 

Distinct5
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.04426143719
Minimum0
Maximum4
Zeros34806
Zeros (%)95.8%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:58.414155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2229018338
Coefficient of variation (CV)5.036027928
Kurtosis45.55082807
Mean0.04426143719
Median Absolute Deviation (MAD)0
Skewness5.885442897
Sum1607
Variance0.04968522752
MonotonicityNot monotonic
2024-08-10T10:49:58.649475image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 34806
95.8%
1 1418
 
3.9%
2 65
 
0.2%
3 13
 
< 0.1%
4 5
 
< 0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
0 34806
95.8%
1 1418
 
3.9%
2 65
 
0.2%
3 13
 
< 0.1%
4 5
 
< 0.1%
ValueCountFrequency (%)
4 5
 
< 0.1%
3 13
 
< 0.1%
2 65
 
0.2%
1 1418
 
3.9%
0 34806
95.8%

GPZQYDO
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.982128846
Minimum4.94648
Maximum5.02392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:58.888604image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.94648
5-th percentile4.95616
Q14.96584
median4.97552
Q34.99488
95-th percentile5.01424
Maximum5.02392
Range0.07744
Interquartile range (IQR)0.02904

Descriptive statistics

Standard deviation0.01817275306
Coefficient of variation (CV)0.003647587933
Kurtosis-0.730407797
Mean4.982128846
Median Absolute Deviation (MAD)0.00968
Skewness0.3548982511
Sum180901.0984
Variance0.0003302489538
MonotonicityNot monotonic
2024-08-10T10:49:59.103616image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4.97552 7639
21.0%
4.96584 6666
18.4%
4.9852 5263
14.5%
4.99488 5200
14.3%
4.95616 4314
11.9%
5.00456 3876
10.7%
5.01424 2263
 
6.2%
5.02392 876
 
2.4%
4.94648 213
 
0.6%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
4.94648 213
 
0.6%
4.95616 4314
11.9%
4.96584 6666
18.4%
4.97552 7639
21.0%
4.9852 5263
14.5%
ValueCountFrequency (%)
5.02392 876
 
2.4%
5.01424 2263
6.2%
5.00456 3876
10.7%
4.99488 5200
14.3%
4.9852 5263
14.5%

DBIEMBY
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean5.069472784
Minimum4.9852
Maximum5.12072
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:59.348421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.9852
5-th percentile5.04328
Q15.05296
median5.07232
Q35.082
95-th percentile5.10136
Maximum5.12072
Range0.13552
Interquartile range (IQR)0.02904

Descriptive statistics

Standard deviation0.01951604234
Coefficient of variation (CV)0.003849718337
Kurtosis-0.676899991
Mean5.069472784
Median Absolute Deviation (MAD)0.00968
Skewness0.1096024115
Sum184072.5568
Variance0.0003808759085
MonotonicityNot monotonic
2024-08-10T10:49:59.607175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5.06264 7724
21.3%
5.07232 7515
20.7%
5.04328 6622
18.2%
5.09168 4760
13.1%
5.082 4141
11.4%
5.10136 1755
 
4.8%
5.05296 1386
 
3.8%
5.11104 1301
 
3.6%
5.0336 1088
 
3.0%
5.02392 10
 
< 0.1%
Other values (3) 8
 
< 0.1%
ValueCountFrequency (%)
4.9852 3
 
< 0.1%
5.01424 4
 
< 0.1%
5.02392 10
 
< 0.1%
5.0336 1088
 
3.0%
5.04328 6622
18.2%
ValueCountFrequency (%)
5.12072 1
 
< 0.1%
5.11104 1301
 
3.6%
5.10136 1755
 
4.8%
5.09168 4760
13.1%
5.082 4141
11.4%

UYZDABQ
Real number (ℝ)

Distinct20
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean12.15824517
Minimum11.902
Maximum12.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:49:59.855874image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum11.902
5-th percentile11.99
Q112.144
median12.166
Q312.21
95-th percentile12.298
Maximum12.32
Range0.418
Interquartile range (IQR)0.066

Descriptive statistics

Standard deviation0.08412386547
Coefficient of variation (CV)0.006919079548
Kurtosis0.5228113562
Mean12.15824517
Median Absolute Deviation (MAD)0.022
Skewness-0.5542347495
Sum441465.882
Variance0.007076824741
MonotonicityNot monotonic
2024-08-10T10:50:00.099523image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
12.144 8152
22.4%
12.166 5963
16.4%
12.188 4541
12.5%
12.254 2196
 
6.0%
12.232 2138
 
5.9%
12.056 2125
 
5.9%
12.21 1832
 
5.0%
12.122 1726
 
4.8%
11.946 1428
 
3.9%
12.32 1370
 
3.8%
Other values (10) 4839
13.3%
ValueCountFrequency (%)
11.902 2
 
< 0.1%
11.924 100
 
0.3%
11.946 1428
3.9%
11.968 118
 
0.3%
11.99 785
2.2%
ValueCountFrequency (%)
12.32 1370
3.8%
12.298 1186
3.3%
12.276 586
 
1.6%
12.254 2196
6.0%
12.232 2138
5.9%

PKTNUED
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.900334312
Minimum4.85936
Maximum4.9368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:00.348561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.85936
5-th percentile4.87872
Q14.8884
median4.89808
Q34.91744
95-th percentile4.92712
Maximum4.9368
Range0.07744
Interquartile range (IQR)0.02904

Descriptive statistics

Standard deviation0.0167756182
Coefficient of variation (CV)0.003423361986
Kurtosis-1.216103655
Mean4.900334312
Median Absolute Deviation (MAD)0.01936
Skewness0.1999038145
Sum177931.1389
Variance0.0002814213661
MonotonicityNot monotonic
2024-08-10T10:50:00.604342image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4.8884 8485
23.4%
4.91744 6739
18.6%
4.89808 6631
18.3%
4.87872 6330
17.4%
4.92712 4811
13.2%
4.90776 2925
 
8.1%
4.86904 313
 
0.9%
4.85936 75
 
0.2%
4.9368 1
 
< 0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
4.85936 75
 
0.2%
4.86904 313
 
0.9%
4.87872 6330
17.4%
4.8884 8485
23.4%
4.89808 6631
18.3%
ValueCountFrequency (%)
4.9368 1
 
< 0.1%
4.92712 4811
13.2%
4.91744 6739
18.6%
4.90776 2925
8.1%
4.89808 6631
18.3%

XPCRCSI
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.041996915
Minimum3.02
Maximum3.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:00.872117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.02
5-th percentile3.028
Q13.036
median3.04
Q33.048
95-th percentile3.056
Maximum3.06
Range0.04
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.009005706379
Coefficient of variation (CV)0.002960458748
Kurtosis-0.7016296325
Mean3.041996915
Median Absolute Deviation (MAD)0.004
Skewness0.0188435923
Sum110454.908
Variance8.110274738 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:01.137276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.036 6909
19.0%
3.044 6882
19.0%
3.04 6528
18.0%
3.056 5087
14.0%
3.052 3284
9.0%
3.028 2625
 
7.2%
3.048 1634
 
4.5%
3.032 1566
 
4.3%
3.024 1438
 
4.0%
3.06 323
 
0.9%
ValueCountFrequency (%)
3.02 34
 
0.1%
3.024 1438
 
4.0%
3.028 2625
 
7.2%
3.032 1566
 
4.3%
3.036 6909
19.0%
ValueCountFrequency (%)
3.06 323
 
0.9%
3.056 5087
14.0%
3.052 3284
9.0%
3.048 1634
 
4.5%
3.044 6882
19.0%

JWFXMKH
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.496348003
Minimum2.484
Maximum2.508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:01.376103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.484
5-th percentile2.488
Q12.492
median2.496
Q32.5
95-th percentile2.508
Maximum2.508
Range0.024
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.005630391065
Coefficient of variation (CV)0.002255451186
Kurtosis-0.4325815183
Mean2.496348003
Median Absolute Deviation (MAD)0.004
Skewness0.1775925197
Sum90642.396
Variance3.170130354 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:01.629668image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2.492 9057
24.9%
2.496 8845
24.4%
2.5 8668
23.9%
2.488 3579
 
9.9%
2.504 3055
 
8.4%
2.508 2319
 
6.4%
2.484 787
 
2.2%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
2.484 787
 
2.2%
2.488 3579
 
9.9%
2.492 9057
24.9%
2.496 8845
24.4%
2.5 8668
23.9%
ValueCountFrequency (%)
2.508 2319
 
6.4%
2.504 3055
 
8.4%
2.5 8668
23.9%
2.496 8845
24.4%
2.492 9057
24.9%

LZBJHYC
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9233414486
Minimum0.904
Maximum0.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:01.861687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.904
5-th percentile0.916
Q10.92
median0.924
Q30.928
95-th percentile0.936
Maximum0.94
Range0.036
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.006341925605
Coefficient of variation (CV)0.006868451117
Kurtosis-0.3755763312
Mean0.9233414486
Median Absolute Deviation (MAD)0.004
Skewness0.2510295002
Sum33526.528
Variance4.022002038 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:02.095788image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.92 11424
31.5%
0.924 8000
22.0%
0.932 4982
13.7%
0.916 4608
12.7%
0.928 3469
 
9.6%
0.936 2148
 
5.9%
0.912 1034
 
2.8%
0.908 581
 
1.6%
0.94 59
 
0.2%
0.904 5
 
< 0.1%
(Missing) 4
 
< 0.1%
ValueCountFrequency (%)
0.904 5
 
< 0.1%
0.908 581
 
1.6%
0.912 1034
 
2.8%
0.916 4608
12.7%
0.92 11424
31.5%
ValueCountFrequency (%)
0.94 59
 
0.2%
0.936 2148
 
5.9%
0.932 4982
13.7%
0.928 3469
9.6%
0.924 8000
22.0%

EBWHZXL
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.330206995
Minimum3.308
Maximum3.348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:02.345740image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.32
Q13.324
median3.328
Q33.336
95-th percentile3.34
Maximum3.348
Range0.04
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007892535083
Coefficient of variation (CV)0.002369983336
Kurtosis-0.6206049472
Mean3.330206995
Median Absolute Deviation (MAD)0.008
Skewness-0.201145531
Sum120919.816
Variance6.229211003 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:02.596678image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.324 6922
19.1%
3.328 6612
18.2%
3.34 6255
17.2%
3.336 5432
15.0%
3.332 4422
12.2%
3.32 3541
9.8%
3.344 1524
 
4.2%
3.312 1223
 
3.4%
3.316 284
 
0.8%
3.308 84
 
0.2%
ValueCountFrequency (%)
3.308 84
 
0.2%
3.312 1223
 
3.4%
3.316 284
 
0.8%
3.32 3541
9.8%
3.324 6922
19.1%
ValueCountFrequency (%)
3.348 11
 
< 0.1%
3.344 1524
 
4.2%
3.34 6255
17.2%
3.336 5432
15.0%
3.332 4422
12.2%

ARVLGNZ
Real number (ℝ)

Distinct19
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean26.82361608
Minimum21.5
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:02.842838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum21.5
5-th percentile25.5
Q126
median26.5
Q328
95-th percentile29
Maximum31
Range9.5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.21930318
Coefficient of variation (CV)0.04545633133
Kurtosis-0.9218941795
Mean26.82361608
Median Absolute Deviation (MAD)1
Skewness0.3651944466
Sum973965.5
Variance1.486700245
MonotonicityNot monotonic
2024-08-10T10:50:03.082196image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
26 7331
20.2%
25.5 6979
19.2%
27.5 4687
12.9%
28 4157
11.4%
26.5 3225
8.9%
28.5 3093
8.5%
27 2759
 
7.6%
29 1674
 
4.6%
25 1462
 
4.0%
29.5 645
 
1.8%
Other values (9) 298
 
0.8%
ValueCountFrequency (%)
21.5 1
 
< 0.1%
22.5 1
 
< 0.1%
23 3
 
< 0.1%
23.5 3
 
< 0.1%
24 27
0.1%
ValueCountFrequency (%)
31 6
 
< 0.1%
30.5 15
 
< 0.1%
30 86
 
0.2%
29.5 645
 
1.8%
29 1674
4.6%

OZIVQPW
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.303692226
Minimum3.27352
Maximum3.33992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:03.343947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.27352
5-th percentile3.2868
Q13.29344
median3.30008
Q33.31336
95-th percentile3.32664
Maximum3.33992
Range0.0664
Interquartile range (IQR)0.01992

Descriptive statistics

Standard deviation0.01328919415
Coefficient of variation (CV)0.004022527898
Kurtosis-0.5909135987
Mean3.303692226
Median Absolute Deviation (MAD)0.00664
Skewness0.1298543675
Sum119957.0647
Variance0.000176602681
MonotonicityNot monotonic
2024-08-10T10:50:03.659595image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.29344 8331
22.9%
3.30672 5818
16.0%
3.30008 5776
15.9%
3.31336 5231
14.4%
3.32664 4222
11.6%
3.2868 3483
9.6%
3.32 2051
 
5.6%
3.27352 964
 
2.7%
3.28016 324
 
0.9%
3.33328 103
 
0.3%
ValueCountFrequency (%)
3.27352 964
 
2.7%
3.28016 324
 
0.9%
3.2868 3483
9.6%
3.29344 8331
22.9%
3.30008 5776
15.9%
ValueCountFrequency (%)
3.33992 7
 
< 0.1%
3.33328 103
 
0.3%
3.32664 4222
11.6%
3.32 2051
 
5.6%
3.31336 5231
14.4%

JKILSTV
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean651.0655521
Minimum19
Maximum1003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:04.007251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median1003
Q31003
95-th percentile1003
Maximum1003
Range984
Interquartile range (IQR)984

Descriptive statistics

Standard deviation471.6325544
Coefficient of variation (CV)0.7244010267
Kurtosis-1.647362568
Mean651.0655521
Median Absolute Deviation (MAD)0
Skewness-0.5939070806
Sum23638237
Variance222437.2663
MonotonicityNot monotonic
2024-08-10T10:50:04.413816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1003 23321
64.2%
19 12926
35.6%
28 60
 
0.2%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
19 12926
35.6%
28 60
 
0.2%
1003 23321
64.2%
ValueCountFrequency (%)
1003 23321
64.2%
28 60
 
0.2%
19 12926
35.6%

RFVSOEI
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean153.5480761
Minimum140
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:04.795254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile150
Q1150
median150
Q3160
95-th percentile160
Maximum160
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.809878562
Coefficient of variation (CV)0.03132490281
Kurtosis-1.580725751
Mean153.5480761
Median Absolute Deviation (MAD)0
Skewness0.5742467211
Sum5574870
Variance23.13493178
MonotonicityNot monotonic
2024-08-10T10:50:05.128509image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
150 23337
64.3%
160 12926
35.6%
140 44
 
0.1%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
140 44
 
0.1%
150 23337
64.3%
160 12926
35.6%
ValueCountFrequency (%)
160 12926
35.6%
150 23337
64.3%
140 44
 
0.1%

QXTPTQN
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing7
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean47
Minimum47
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:05.440213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile47
Q147
median47
Q347
95-th percentile47
Maximum47
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean47
Median Absolute Deviation (MAD)0
Skewness0
Sum1706429
Variance0
MonotonicityIncreasing
2024-08-10T10:50:05.798415image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
47 36307
> 99.9%
(Missing) 7
 
< 0.1%
ValueCountFrequency (%)
47 36307
> 99.9%
ValueCountFrequency (%)
47 36307
> 99.9%

JIMYAME
Real number (ℝ)

Distinct6870
Distinct (%)18.9%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2916.017543
Minimum0
Maximum7000
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:06.254265image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile299
Q11358
median2669
Q34222.75
95-th percentile6423
Maximum7000
Range7000
Interquartile range (IQR)2864.75

Descriptive statistics

Standard deviation1875.461787
Coefficient of variation (CV)0.643158609
Kurtosis-0.8198509483
Mean2916.017543
Median Absolute Deviation (MAD)1399.5
Skewness0.4277523173
Sum105880597
Variance3517356.915
MonotonicityNot monotonic
2024-08-10T10:50:06.730541image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1004 18
 
< 0.1%
1123 17
 
< 0.1%
2415 16
 
< 0.1%
708 16
 
< 0.1%
1097 16
 
< 0.1%
2264 16
 
< 0.1%
1224 16
 
< 0.1%
2733 16
 
< 0.1%
837 16
 
< 0.1%
1793 16
 
< 0.1%
Other values (6860) 36147
99.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
2 7
< 0.1%
3 3
< 0.1%
4 2
 
< 0.1%
5 7
< 0.1%
ValueCountFrequency (%)
7000 2
< 0.1%
6999 2
< 0.1%
6998 3
< 0.1%
6997 2
< 0.1%
6996 3
< 0.1%

OPLXQJS
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean14.56814093
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:07.244463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q115
median15
Q315
95-th percentile15
Maximum80
Range79
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.909586146
Coefficient of variation (CV)0.1310796041
Kurtosis56.70427041
Mean14.56814093
Median Absolute Deviation (MAD)0
Skewness-0.9404693886
Sum429192
Variance3.646519249
MonotonicityNot monotonic
2024-08-10T10:50:07.711907image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
15 27296
75.2%
8 1816
 
5.0%
24 126
 
0.3%
10 60
 
0.2%
14 35
 
0.1%
6 28
 
0.1%
7 21
 
0.1%
12 17
 
< 0.1%
9 16
 
< 0.1%
13 13
 
< 0.1%
Other values (8) 33
 
0.1%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 3
 
< 0.1%
3 6
< 0.1%
4 9
< 0.1%
5 6
< 0.1%
ValueCountFrequency (%)
80 1
 
< 0.1%
26 2
 
< 0.1%
24 126
 
0.3%
15 27296
75.2%
14 35
 
0.1%

VAGMJKH
Real number (ℝ)

MISSING 

Distinct4306
Distinct (%)14.6%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean1533.926072
Minimum0
Maximum5587
Zeros13
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:08.282839image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile118
Q1653
median1394
Q32272
95-th percentile3468
Maximum5587
Range5587
Interquartile range (IQR)1619

Descriptive statistics

Standard deviation1070.070204
Coefficient of variation (CV)0.6976022011
Kurtosis0.2637405345
Mean1533.926072
Median Absolute Deviation (MAD)798
Skewness0.7293112509
Sum45190996
Variance1145050.241
MonotonicityNot monotonic
2024-08-10T10:50:08.665062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 59
 
0.2%
1047 22
 
0.1%
259 22
 
0.1%
223 21
 
0.1%
1936 21
 
0.1%
727 21
 
0.1%
6 20
 
0.1%
413 20
 
0.1%
880 20
 
0.1%
811 20
 
0.1%
Other values (4296) 29215
80.5%
(Missing) 6853
 
18.9%
ValueCountFrequency (%)
0 13
< 0.1%
1 13
< 0.1%
2 12
< 0.1%
3 18
< 0.1%
4 10
< 0.1%
ValueCountFrequency (%)
5587 1
< 0.1%
5583 1
< 0.1%
5576 1
< 0.1%
5561 1
< 0.1%
5521 1
< 0.1%

SHXMZYS
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean6.788533994
Minimum0
Maximum15
Zeros2042
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:08.943542image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q311
95-th percentile14
Maximum15
Range15
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.326815952
Coefficient of variation (CV)0.6373711843
Kurtosis-1.196000412
Mean6.788533994
Median Absolute Deviation (MAD)4
Skewness0.08460385041
Sum199997
Variance18.72133628
MonotonicityNot monotonic
2024-08-10T10:50:09.191100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 2143
 
5.9%
1 2098
 
5.8%
5 2074
 
5.7%
3 2062
 
5.7%
4 2057
 
5.7%
0 2042
 
5.6%
6 2038
 
5.6%
7 2029
 
5.6%
10 1879
 
5.2%
8 1866
 
5.1%
Other values (6) 9173
25.3%
(Missing) 6853
18.9%
ValueCountFrequency (%)
0 2042
5.6%
1 2098
5.8%
2 2143
5.9%
3 2062
5.7%
4 2057
5.7%
ValueCountFrequency (%)
15 94
 
0.3%
14 1813
5.0%
13 1833
5.0%
12 1842
5.1%
11 1818
5.0%

LTDFQFZ
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)0.1%
Missing6853
Missing (%)18.9%
Infinite0
Infinite (%)0.0%
Mean3061.551135
Minimum50
Maximum5600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:09.432616image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile1200
Q13000
median3000
Q33000
95-th percentile5000
Maximum5600
Range5550
Interquartile range (IQR)0

Descriptive statistics

Standard deviation922.3544416
Coefficient of variation (CV)0.3012703041
Kurtosis1.339273765
Mean3061.551135
Median Absolute Deviation (MAD)0
Skewness0.03890799946
Sum90196358
Variance850737.716
MonotonicityNot monotonic
2024-08-10T10:50:09.656311image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3000 16256
44.8%
2000 2846
 
7.8%
4000 2779
 
7.7%
5000 1885
 
5.2%
3932 1489
 
4.1%
1000 970
 
2.7%
2922 580
 
1.6%
2600 572
 
1.6%
2500 511
 
1.4%
5600 381
 
1.0%
Other values (9) 1192
 
3.3%
(Missing) 6853
18.9%
ValueCountFrequency (%)
50 16
 
< 0.1%
70 88
 
0.2%
80 44
 
0.1%
100 49
 
0.1%
915 296
0.8%
ValueCountFrequency (%)
5600 381
 
1.0%
5000 1885
 
5.2%
4000 2779
 
7.7%
3932 1489
 
4.1%
3000 16256
44.8%

FPBFOEB
Real number (ℝ)

Distinct30596
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47696.67233
Minimum0
Maximum94117
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:09.953181image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5365.9
Q124615
median47871
Q371081
95-th percentile89308.7
Maximum94117
Range94117
Interquartile range (IQR)46466

Descriptive statistics

Standard deviation26852.51289
Coefficient of variation (CV)0.5629850382
Kurtosis-1.187516655
Mean47696.67233
Median Absolute Deviation (MAD)23234.5
Skewness-0.01549099944
Sum1732056959
Variance721057448.7
MonotonicityNot monotonic
2024-08-10T10:50:10.253010image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50494 5
 
< 0.1%
13795 4
 
< 0.1%
41379 4
 
< 0.1%
43403 4
 
< 0.1%
54065 4
 
< 0.1%
44038 4
 
< 0.1%
6830 4
 
< 0.1%
89306 4
 
< 0.1%
91404 4
 
< 0.1%
81665 4
 
< 0.1%
Other values (30586) 36273
99.9%
ValueCountFrequency (%)
0 3
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
94117 1
< 0.1%
94105 1
< 0.1%
94101 2
< 0.1%
94100 1
< 0.1%
94097 1
< 0.1%

ELXUMTI
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:10.491132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:50:10.690479image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

XIRNYHK
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2122.110921
Minimum2116
Maximum2127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:10.915888image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2116
5-th percentile2116
Q12120
median2122
Q32124
95-th percentile2126
Maximum2127
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.034528115
Coefficient of variation (CV)0.001429957352
Kurtosis-0.7300436472
Mean2122.110921
Median Absolute Deviation (MAD)2
Skewness-0.4063772237
Sum77062336
Variance9.208360878
MonotonicityNot monotonic
2024-08-10T10:50:11.163096image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2124 6679
18.4%
2126 5019
13.8%
2122 4960
13.7%
2123 4131
11.4%
2118 3916
10.8%
2121 3339
9.2%
2116 2333
 
6.4%
2120 2245
 
6.2%
2127 1362
 
3.8%
2125 891
 
2.5%
Other values (2) 1439
 
4.0%
ValueCountFrequency (%)
2116 2333
6.4%
2117 606
 
1.7%
2118 3916
10.8%
2119 833
 
2.3%
2120 2245
6.2%
ValueCountFrequency (%)
2127 1362
 
3.8%
2126 5019
13.8%
2125 891
 
2.5%
2124 6679
18.4%
2123 4131
11.4%

HBQPQTD
Real number (ℝ)

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.167758991
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:11.384060image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum9
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4774544736
Coefficient of variation (CV)0.4088638814
Kurtosis25.03684497
Mean1.167758991
Median Absolute Deviation (MAD)0
Skewness3.958451606
Sum42406
Variance0.2279627744
MonotonicityNot monotonic
2024-08-10T10:50:11.599412image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 31391
86.4%
2 4026
 
11.1%
3 717
 
2.0%
4 129
 
0.4%
5 30
 
0.1%
6 9
 
< 0.1%
7 6
 
< 0.1%
8 4
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
1 31391
86.4%
2 4026
 
11.1%
3 717
 
2.0%
4 129
 
0.4%
5 30
 
0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
8 4
 
< 0.1%
7 6
 
< 0.1%
6 9
 
< 0.1%
5 30
0.1%

KNYSSTU
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:11.837024image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum36314
Variance0
MonotonicityIncreasing
2024-08-10T10:50:12.044322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%
ValueCountFrequency (%)
1 36314
100.0%

LPCAWJY
Real number (ℝ)

Distinct250
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.3077326
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:12.300067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q161
median121
Q3183
95-th percentile236
Maximum250
Range249
Interquartile range (IQR)122

Descriptive statistics

Standard deviation71.28098232
Coefficient of variation (CV)0.5828002926
Kurtosis-1.177756096
Mean122.3077326
Median Absolute Deviation (MAD)61
Skewness0.05470796064
Sum4441483
Variance5080.97844
MonotonicityNot monotonic
2024-08-10T10:50:12.612372image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 186
 
0.5%
59 184
 
0.5%
124 184
 
0.5%
28 184
 
0.5%
25 183
 
0.5%
19 180
 
0.5%
31 180
 
0.5%
23 177
 
0.5%
66 174
 
0.5%
102 173
 
0.5%
Other values (240) 34509
95.0%
ValueCountFrequency (%)
1 130
0.4%
2 140
0.4%
3 142
0.4%
4 144
0.4%
5 147
0.4%
ValueCountFrequency (%)
250 121
0.3%
249 138
0.4%
248 143
0.4%
247 113
0.3%
246 116
0.3%

CVWPAJZ
Real number (ℝ)

Distinct250
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.1349893
Minimum1
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:12.894548image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q159
median117
Q3181
95-th percentile236
Maximum250
Range249
Interquartile range (IQR)122

Descriptive statistics

Standard deviation71.20899108
Coefficient of variation (CV)0.5927414779
Kurtosis-1.165925397
Mean120.1349893
Median Absolute Deviation (MAD)61
Skewness0.1002816688
Sum4362582
Variance5070.720411
MonotonicityNot monotonic
2024-08-10T10:50:13.214628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 192
 
0.5%
59 189
 
0.5%
91 185
 
0.5%
66 185
 
0.5%
52 182
 
0.5%
19 182
 
0.5%
33 181
 
0.5%
90 178
 
0.5%
70 178
 
0.5%
58 178
 
0.5%
Other values (240) 34484
95.0%
ValueCountFrequency (%)
1 134
0.4%
2 143
0.4%
3 142
0.4%
4 144
0.4%
5 143
0.4%
ValueCountFrequency (%)
250 116
0.3%
249 115
0.3%
248 137
0.4%
247 118
0.3%
246 133
0.4%

KCTFYGC
Real number (ℝ)

Distinct89
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.75965192
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:13.525343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31
Q172
median85
Q385
95-th percentile85
Maximum90
Range89
Interquartile range (IQR)13

Descriptive statistics

Standard deviation18.79791951
Coefficient of variation (CV)0.2514447169
Kurtosis2.273938838
Mean74.75965192
Median Absolute Deviation (MAD)0
Skewness-1.806131642
Sum2714822
Variance353.3617779
MonotonicityNot monotonic
2024-08-10T10:50:13.819694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85 25175
69.3%
50 2082
 
5.7%
75 551
 
1.5%
40 439
 
1.2%
60 428
 
1.2%
80 374
 
1.0%
63 349
 
1.0%
70 290
 
0.8%
65 271
 
0.7%
25 224
 
0.6%
Other values (79) 6131
 
16.9%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 1
 
< 0.1%
3 5
 
< 0.1%
4 14
 
< 0.1%
5 82
0.2%
ValueCountFrequency (%)
90 1
 
< 0.1%
88 3
 
< 0.1%
87 35
 
0.1%
86 20
 
0.1%
85 25175
69.3%

LTZYUVU
Real number (ℝ)

Distinct36
Distinct (%)0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.5025343
Minimum3
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:14.111882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q117
median28
Q339
95-th percentile48
Maximum54
Range51
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.13779972
Coefficient of variation (CV)0.4776941491
Kurtosis-0.9902546924
Mean27.5025343
Median Absolute Deviation (MAD)11
Skewness0.01728164942
Sum998397
Variance172.6017814
MonotonicityNot monotonic
2024-08-10T10:50:14.390524image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
28 1712
 
4.7%
29 1662
 
4.6%
35 1623
 
4.5%
24 1618
 
4.5%
23 1598
 
4.4%
22 1581
 
4.4%
17 1563
 
4.3%
30 1561
 
4.3%
36 1560
 
4.3%
34 1552
 
4.3%
Other values (26) 20272
55.8%
ValueCountFrequency (%)
3 119
 
0.3%
4 711
2.0%
5 888
2.4%
6 888
2.4%
9 267
 
0.7%
ValueCountFrequency (%)
54 107
 
0.3%
53 378
 
1.0%
52 521
1.4%
51 131
 
0.4%
48 1020
2.8%

IUCJIOI
Real number (ℝ)

Distinct51
Distinct (%)0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean25.22530439
Minimum0
Maximum50
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:14.666651image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q115
median25
Q335
95-th percentile45
Maximum50
Range50
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.12874137
Coefficient of variation (CV)0.4808164524
Kurtosis-0.9662103045
Mean25.22530439
Median Absolute Deviation (MAD)10
Skewness-0.01347333706
Sum915729
Variance147.1063672
MonotonicityNot monotonic
2024-08-10T10:50:15.024786image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 1198
 
3.3%
27 1173
 
3.2%
31 1102
 
3.0%
19 1087
 
3.0%
35 1059
 
2.9%
15 1034
 
2.8%
28 939
 
2.6%
39 922
 
2.5%
22 905
 
2.5%
25 902
 
2.5%
Other values (41) 25981
71.5%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 156
 
0.4%
2 279
0.8%
3 497
1.4%
4 414
1.1%
ValueCountFrequency (%)
50 9
 
< 0.1%
49 212
0.6%
48 282
0.8%
47 474
1.3%
46 467
1.3%

WVRSHBW
Real number (ℝ)

Distinct37
Distinct (%)0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean27.48383009
Minimum0
Maximum54
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:15.330233image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q117
median28
Q339
95-th percentile48
Maximum54
Range54
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.13928495
Coefficient of variation (CV)0.4780732855
Kurtosis-0.99080666
Mean27.48383009
Median Absolute Deviation (MAD)11
Skewness0.01721861528
Sum997718
Variance172.640809
MonotonicityNot monotonic
2024-08-10T10:50:15.624294image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
28 1708
 
4.7%
29 1672
 
4.6%
24 1641
 
4.5%
35 1608
 
4.4%
23 1589
 
4.4%
22 1580
 
4.4%
34 1571
 
4.3%
36 1555
 
4.3%
17 1549
 
4.3%
30 1535
 
4.2%
Other values (27) 20294
55.9%
ValueCountFrequency (%)
0 2
 
< 0.1%
3 122
 
0.3%
4 703
1.9%
5 890
2.5%
6 912
2.5%
ValueCountFrequency (%)
54 103
 
0.3%
53 383
 
1.1%
52 510
1.4%
51 136
 
0.4%
48 1027
2.8%

VMWDQGF
Real number (ℝ)

Distinct31
Distinct (%)0.1%
Missing41
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean61.43147796
Minimum26
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:15.892081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile54
Q154
median62
Q366
95-th percentile72
Maximum92
Range66
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.756182816
Coefficient of variation (CV)0.1099791677
Kurtosis-0.7806742432
Mean61.43147796
Median Absolute Deviation (MAD)8
Skewness0.1186878163
Sum2228304
Variance45.64600624
MonotonicityNot monotonic
2024-08-10T10:50:16.175012image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
54 13237
36.5%
66 4852
 
13.4%
64 4541
 
12.5%
68 4076
 
11.2%
62 3267
 
9.0%
70 2614
 
7.2%
60 1094
 
3.0%
72 1032
 
2.8%
74 372
 
1.0%
52 223
 
0.6%
Other values (21) 965
 
2.7%
ValueCountFrequency (%)
26 1
< 0.1%
30 1
< 0.1%
32 1
< 0.1%
36 1
< 0.1%
40 1
< 0.1%
ValueCountFrequency (%)
92 3
 
< 0.1%
90 2
 
< 0.1%
88 4
 
< 0.1%
86 17
 
< 0.1%
84 53
0.1%

EJMEHVK
Real number (ℝ)

Distinct14
Distinct (%)< 0.1%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.242129457
Minimum3.22
Maximum3.272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:16.425922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.22
5-th percentile3.228
Q13.236
median3.244
Q33.248
95-th percentile3.256
Maximum3.272
Range0.052
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.00820671133
Coefficient of variation (CV)0.002531271943
Kurtosis-0.008372334008
Mean3.242129457
Median Absolute Deviation (MAD)0.004
Skewness0.1316467562
Sum116655.06
Variance6.735011085 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:16.680951image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3.244 6846
18.9%
3.24 6653
18.3%
3.248 5776
15.9%
3.236 4982
13.7%
3.252 3511
9.7%
3.232 3483
9.6%
3.228 1819
 
5.0%
3.256 1022
 
2.8%
3.224 654
 
1.8%
3.26 624
 
1.7%
Other values (4) 611
 
1.7%
ValueCountFrequency (%)
3.22 65
 
0.2%
3.224 654
 
1.8%
3.228 1819
 
5.0%
3.232 3483
9.6%
3.236 4982
13.7%
ValueCountFrequency (%)
3.272 1
 
< 0.1%
3.268 84
 
0.2%
3.264 461
1.3%
3.26 624
1.7%
3.256 1022
2.8%

SKKXRWR
Real number (ℝ)

Distinct411
Distinct (%)1.1%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean23.40253495
Minimum21.09
Maximum25.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:16.965075image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum21.09
5-th percentile22.24
Q122.85
median23.42
Q323.95
95-th percentile24.53
Maximum25.62
Range4.53
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation0.7128869991
Coefficient of variation (CV)0.03046195639
Kurtosis-0.6428980591
Mean23.40253495
Median Absolute Deviation (MAD)0.55
Skewness-0.05500095456
Sum842046.61
Variance0.5082078735
MonotonicityNot monotonic
2024-08-10T10:50:17.281922image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.74 214
 
0.6%
23.5 214
 
0.6%
22.85 194
 
0.5%
23.21 194
 
0.5%
23.84 193
 
0.5%
23.64 192
 
0.5%
22.94 192
 
0.5%
23.88 191
 
0.5%
23.39 191
 
0.5%
24 189
 
0.5%
Other values (401) 34017
93.7%
(Missing) 333
 
0.9%
ValueCountFrequency (%)
21.09 1
< 0.1%
21.14 1
< 0.1%
21.2 1
< 0.1%
21.22 1
< 0.1%
21.26 2
< 0.1%
ValueCountFrequency (%)
25.62 1
< 0.1%
25.48 2
< 0.1%
25.47 2
< 0.1%
25.41 2
< 0.1%
25.4 1
< 0.1%

SFTKCKG
Real number (ℝ)

Distinct3104
Distinct (%)8.6%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean15.17448195
Minimum13.71816
Maximum16.581264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:17.581905image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum13.71816
5-th percentile14.44392
Q114.821952
median15.18264
Q315.52608
95-th percentile15.895712
Maximum16.581264
Range2.863104
Interquartile range (IQR)0.704128

Descriptive statistics

Standard deviation0.4529813081
Coefficient of variation (CV)0.02985151715
Kurtosis-0.6895721569
Mean15.17448195
Median Absolute Deviation (MAD)0.351072
Skewness-0.03341424296
Sum545993.0349
Variance0.2051920655
MonotonicityNot monotonic
2024-08-10T10:50:17.866251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.5844 60
 
0.2%
15.460904 59
 
0.2%
15.72696 58
 
0.2%
15.746376 57
 
0.2%
15.76584 56
 
0.2%
15.43536 54
 
0.1%
15.22152 53
 
0.1%
15.37704 53
 
0.1%
14.831568 52
 
0.1%
15.39648 51
 
0.1%
Other values (3094) 35428
97.6%
(Missing) 333
 
0.9%
ValueCountFrequency (%)
13.71816 1
< 0.1%
13.727296 1
< 0.1%
13.766368 1
< 0.1%
13.78848 1
< 0.1%
13.838904 1
< 0.1%
ValueCountFrequency (%)
16.581264 1
 
< 0.1%
16.502592 2
< 0.1%
16.477712 2
< 0.1%
16.432408 2
< 0.1%
16.4268 3
< 0.1%

ALDDXXN
Real number (ℝ)

Distinct97
Distinct (%)0.3%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.172494983
Minimum3.122
Maximum3.221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:18.190600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.122
5-th percentile3.151
Q13.164
median3.172
Q33.181
95-th percentile3.193
Maximum3.221
Range0.099
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01271372959
Coefficient of variation (CV)0.004007486113
Kurtosis0.002460241149
Mean3.172494983
Median Absolute Deviation (MAD)0.009
Skewness-0.01485267171
Sum114149.542
Variance0.0001616389201
MonotonicityNot monotonic
2024-08-10T10:50:18.566286image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.172 1379
 
3.8%
3.175 1245
 
3.4%
3.171 1228
 
3.4%
3.174 1183
 
3.3%
3.178 1179
 
3.2%
3.169 1126
 
3.1%
3.166 1068
 
2.9%
3.177 1067
 
2.9%
3.18 1043
 
2.9%
3.168 1013
 
2.8%
Other values (87) 24450
67.3%
ValueCountFrequency (%)
3.122 1
< 0.1%
3.126 1
< 0.1%
3.127 2
< 0.1%
3.128 1
< 0.1%
3.129 2
< 0.1%
ValueCountFrequency (%)
3.221 1
 
< 0.1%
3.22 2
 
< 0.1%
3.219 2
 
< 0.1%
3.218 3
< 0.1%
3.217 5
< 0.1%

RNKJCEN
Real number (ℝ)

Distinct194
Distinct (%)0.5%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.2872277313
Minimum0.077
Maximum0.372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:18.971597image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.077
5-th percentile0.248
Q10.273
median0.288
Q30.302
95-th percentile0.324
Maximum0.372
Range0.295
Interquartile range (IQR)0.029

Descriptive statistics

Standard deviation0.02327807346
Coefficient of variation (CV)0.08104396241
Kurtosis0.9563745699
Mean0.2872277313
Median Absolute Deviation (MAD)0.015
Skewness-0.3666070648
Sum10334.741
Variance0.000541868704
MonotonicityNot monotonic
2024-08-10T10:50:19.440328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.289 741
 
2.0%
0.295 701
 
1.9%
0.296 680
 
1.9%
0.293 677
 
1.9%
0.291 676
 
1.9%
0.283 671
 
1.8%
0.286 655
 
1.8%
0.3 648
 
1.8%
0.28 641
 
1.8%
0.294 639
 
1.8%
Other values (184) 29252
80.6%
ValueCountFrequency (%)
0.077 1
 
< 0.1%
0.164 1
 
< 0.1%
0.17 1
 
< 0.1%
0.172 2
< 0.1%
0.174 3
< 0.1%
ValueCountFrequency (%)
0.372 2
 
< 0.1%
0.37 1
 
< 0.1%
0.365 1
 
< 0.1%
0.363 5
< 0.1%
0.362 1
 
< 0.1%

UTGKBXG
Real number (ℝ)

Distinct195
Distinct (%)0.5%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.2896597093
Minimum0.01
Maximum0.374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:19.886512image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.251
Q10.276
median0.29
Q30.305
95-th percentile0.326
Maximum0.374
Range0.364
Interquartile range (IQR)0.029

Descriptive statistics

Standard deviation0.0229902567
Coefficient of variation (CV)0.07936988116
Kurtosis1.469911861
Mean0.2896597093
Median Absolute Deviation (MAD)0.014
Skewness-0.361886601
Sum10422.246
Variance0.0005285519033
MonotonicityNot monotonic
2024-08-10T10:50:20.384250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.293 715
 
2.0%
0.294 713
 
2.0%
0.289 711
 
2.0%
0.298 704
 
1.9%
0.286 687
 
1.9%
0.302 684
 
1.9%
0.291 672
 
1.9%
0.283 670
 
1.8%
0.3 667
 
1.8%
0.297 649
 
1.8%
Other values (185) 29109
80.2%
ValueCountFrequency (%)
0.01 1
< 0.1%
0.13 2
< 0.1%
0.145 1
< 0.1%
0.157 1
< 0.1%
0.161 1
< 0.1%
ValueCountFrequency (%)
0.374 2
< 0.1%
0.37 1
< 0.1%
0.369 1
< 0.1%
0.366 1
< 0.1%
0.364 1
< 0.1%

LBMUJNZ
Real number (ℝ)

Distinct36
Distinct (%)0.1%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.143547428
Minimum1.126
Maximum1.257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:20.876199image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.126
5-th percentile1.136
Q11.14
median1.144
Q31.147
95-th percentile1.151
Maximum1.257
Range0.131
Interquartile range (IQR)0.007

Descriptive statistics

Standard deviation0.004687026061
Coefficient of variation (CV)0.004098672208
Kurtosis9.208859002
Mean1.143547428
Median Absolute Deviation (MAD)0.003
Skewness0.2320042074
Sum41145.98
Variance2.19682133 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:21.350767image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1.145 3406
 
9.4%
1.143 3090
 
8.5%
1.147 2706
 
7.5%
1.144 2667
 
7.3%
1.142 2627
 
7.2%
1.146 2600
 
7.2%
1.148 2297
 
6.3%
1.14 2142
 
5.9%
1.141 2125
 
5.9%
1.139 1933
 
5.3%
Other values (26) 10388
28.6%
ValueCountFrequency (%)
1.126 2
 
< 0.1%
1.127 4
 
< 0.1%
1.128 4
 
< 0.1%
1.129 28
0.1%
1.13 37
0.1%
ValueCountFrequency (%)
1.257 1
 
< 0.1%
1.161 1
 
< 0.1%
1.16 2
 
< 0.1%
1.158 9
< 0.1%
1.157 21
0.1%

DDGIRQA
Real number (ℝ)

Distinct117
Distinct (%)0.3%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.117631695
Minimum3.05
Maximum3.177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:21.810550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.05
5-th percentile3.086
Q13.105
median3.12
Q33.131
95-th percentile3.145
Maximum3.177
Range0.127
Interquartile range (IQR)0.026

Descriptive statistics

Standard deviation0.01824128567
Coefficient of variation (CV)0.005851007258
Kurtosis-0.4054935698
Mean3.117631695
Median Absolute Deviation (MAD)0.013
Skewness-0.2706637411
Sum112175.506
Variance0.0003327445029
MonotonicityNot monotonic
2024-08-10T10:50:22.357618image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.127 897
 
2.5%
3.125 853
 
2.3%
3.126 832
 
2.3%
3.123 801
 
2.2%
3.121 800
 
2.2%
3.131 797
 
2.2%
3.129 785
 
2.2%
3.128 774
 
2.1%
3.122 772
 
2.1%
3.133 764
 
2.1%
Other values (107) 27906
76.8%
ValueCountFrequency (%)
3.05 1
 
< 0.1%
3.055 1
 
< 0.1%
3.057 1
 
< 0.1%
3.058 4
< 0.1%
3.059 3
< 0.1%
ValueCountFrequency (%)
3.177 1
 
< 0.1%
3.175 1
 
< 0.1%
3.169 2
 
< 0.1%
3.168 11
< 0.1%
3.167 6
< 0.1%

YYKATJF
Real number (ℝ)

Distinct25
Distinct (%)0.1%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.9494813652
Minimum0.938
Maximum0.998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:22.845302image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.938
5-th percentile0.945
Q10.948
median0.95
Q30.951
95-th percentile0.954
Maximum0.998
Range0.06
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation0.002856045709
Coefficient of variation (CV)0.003008006069
Kurtosis4.541468334
Mean0.9494813652
Median Absolute Deviation (MAD)0.002
Skewness0.286804286
Sum34163.289
Variance8.156997091 × 10-6
MonotonicityNot monotonic
2024-08-10T10:50:23.327963image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.95 5003
13.8%
0.949 4790
13.2%
0.951 4524
12.5%
0.948 4358
12.0%
0.947 3540
9.7%
0.952 3453
9.5%
0.946 2443
6.7%
0.953 2294
6.3%
0.945 1498
 
4.1%
0.954 1405
 
3.9%
Other values (15) 2673
7.4%
ValueCountFrequency (%)
0.938 2
 
< 0.1%
0.939 6
 
< 0.1%
0.94 12
 
< 0.1%
0.941 58
 
0.2%
0.942 162
0.4%
ValueCountFrequency (%)
0.998 2
 
< 0.1%
0.961 2
 
< 0.1%
0.96 8
 
< 0.1%
0.959 23
 
0.1%
0.958 71
0.2%

JNYELDJ
Real number (ℝ)

Distinct50
Distinct (%)0.1%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.793840221
Minimum1.77
Maximum1.824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:23.663912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.77
5-th percentile1.785
Q11.79
median1.794
Q31.798
95-th percentile1.803
Maximum1.824
Range0.054
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.005691212109
Coefficient of variation (CV)0.0031726416
Kurtosis0.04390611408
Mean1.793840221
Median Absolute Deviation (MAD)0.004
Skewness0.06842304639
Sum64544.165
Variance3.238989527 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:23.985799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.793 2514
 
6.9%
1.796 2507
 
6.9%
1.795 2492
 
6.9%
1.791 2441
 
6.7%
1.792 2418
 
6.7%
1.794 2316
 
6.4%
1.797 1975
 
5.4%
1.799 1837
 
5.1%
1.79 1762
 
4.9%
1.798 1748
 
4.8%
Other values (40) 13971
38.5%
ValueCountFrequency (%)
1.77 1
 
< 0.1%
1.773 1
 
< 0.1%
1.774 2
 
< 0.1%
1.775 5
 
< 0.1%
1.776 14
< 0.1%
ValueCountFrequency (%)
1.824 3
< 0.1%
1.823 1
 
< 0.1%
1.82 1
 
< 0.1%
1.818 1
 
< 0.1%
1.817 1
 
< 0.1%

YAXADEO
Real number (ℝ)

Distinct31
Distinct (%)0.1%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.150467497
Minimum1.136
Maximum1.166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:24.281779image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.136
5-th percentile1.144
Q11.148
median1.15
Q31.153
95-th percentile1.158
Maximum1.166
Range0.03
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.004222604005
Coefficient of variation (CV)0.003670337508
Kurtosis-0.0429676905
Mean1.150467497
Median Absolute Deviation (MAD)0.003
Skewness0.1563245391
Sum41394.971
Variance1.783038459 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:24.581377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1.15 3671
10.1%
1.148 3500
9.6%
1.151 3364
 
9.3%
1.153 3207
 
8.8%
1.149 2961
 
8.2%
1.152 2612
 
7.2%
1.146 2224
 
6.1%
1.147 2148
 
5.9%
1.154 1954
 
5.4%
1.155 1823
 
5.0%
Other values (21) 8517
23.5%
ValueCountFrequency (%)
1.136 3
 
< 0.1%
1.137 11
 
< 0.1%
1.138 24
 
0.1%
1.139 53
0.1%
1.14 130
0.4%
ValueCountFrequency (%)
1.166 5
 
< 0.1%
1.165 14
 
< 0.1%
1.164 19
 
0.1%
1.163 73
0.2%
1.162 88
0.2%

WIWNVTH
Real number (ℝ)

Distinct47
Distinct (%)0.1%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.786121286
Minimum1.763
Maximum1.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:24.862623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.763
5-th percentile1.776
Q11.782
median1.786
Q31.79
95-th percentile1.796
Maximum1.81
Range0.047
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.006011321325
Coefficient of variation (CV)0.00336557286
Kurtosis-0.01667577244
Mean1.786121286
Median Absolute Deviation (MAD)0.004
Skewness-0.01070888142
Sum64266.43
Variance3.613598407 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:25.154810image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1.788 2557
 
7.0%
1.785 2541
 
7.0%
1.786 2326
 
6.4%
1.784 2230
 
6.1%
1.789 2192
 
6.0%
1.787 2125
 
5.9%
1.783 1987
 
5.5%
1.782 1747
 
4.8%
1.791 1742
 
4.8%
1.781 1667
 
4.6%
Other values (37) 14867
40.9%
ValueCountFrequency (%)
1.763 1
 
< 0.1%
1.764 9
< 0.1%
1.765 3
 
< 0.1%
1.766 6
 
< 0.1%
1.767 19
0.1%
ValueCountFrequency (%)
1.81 2
 
< 0.1%
1.809 1
 
< 0.1%
1.807 10
< 0.1%
1.806 9
< 0.1%
1.805 16
< 0.1%

APJFLOK
Real number (ℝ)

Distinct35
Distinct (%)0.1%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.8939543926
Minimum0.873
Maximum0.907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:25.428309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.873
5-th percentile0.885
Q10.891
median0.895
Q30.897
95-th percentile0.9
Maximum0.907
Range0.034
Interquartile range (IQR)0.006

Descriptive statistics

Standard deviation0.004778350514
Coefficient of variation (CV)0.005345183774
Kurtosis-0.1679292801
Mean0.8939543926
Median Absolute Deviation (MAD)0.003
Skewness-0.6108770605
Sum32165.373
Variance2.283263364 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:25.706386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.897 3737
 
10.3%
0.896 3732
 
10.3%
0.895 3230
 
8.9%
0.898 3051
 
8.4%
0.899 2639
 
7.3%
0.894 2352
 
6.5%
0.893 2017
 
5.6%
0.892 1616
 
4.5%
0.891 1613
 
4.4%
0.89 1596
 
4.4%
Other values (25) 10398
28.6%
ValueCountFrequency (%)
0.873 1
 
< 0.1%
0.874 1
 
< 0.1%
0.875 1
 
< 0.1%
0.876 4
< 0.1%
0.877 9
< 0.1%
ValueCountFrequency (%)
0.907 3
 
< 0.1%
0.906 6
 
< 0.1%
0.905 20
 
0.1%
0.904 70
 
0.2%
0.903 199
0.5%

SFGWGSJ
Real number (ℝ)

Distinct22
Distinct (%)0.1%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.6225365054
Minimum0.613
Maximum0.634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:25.984646image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.613
5-th percentile0.618
Q10.621
median0.622
Q30.624
95-th percentile0.628
Maximum0.634
Range0.021
Interquartile range (IQR)0.003

Descriptive statistics

Standard deviation0.002817741874
Coefficient of variation (CV)0.004526227537
Kurtosis-0.08184803291
Mean0.6225365054
Median Absolute Deviation (MAD)0.002
Skewness0.3138861705
Sum22399.486
Variance7.939669266 × 10-6
MonotonicityNot monotonic
2024-08-10T10:50:26.221653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.622 5327
14.7%
0.621 5272
14.5%
0.624 4132
11.4%
0.62 4027
11.1%
0.623 4013
11.1%
0.625 3240
8.9%
0.619 2295
6.3%
0.626 1989
 
5.5%
0.627 1488
 
4.1%
0.618 1467
 
4.0%
Other values (12) 2731
7.5%
ValueCountFrequency (%)
0.613 3
 
< 0.1%
0.614 10
 
< 0.1%
0.615 62
 
0.2%
0.616 139
 
0.4%
0.617 646
1.8%
ValueCountFrequency (%)
0.634 2
 
< 0.1%
0.633 10
 
< 0.1%
0.632 19
 
0.1%
0.631 109
0.3%
0.63 212
0.6%

EDASGHM
Real number (ℝ)

Distinct194
Distinct (%)0.5%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.573320058
Minimum3.476
Maximum3.677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:26.486108image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.476
5-th percentile3.522
Q13.545
median3.567
Q33.602
95-th percentile3.635
Maximum3.677
Range0.201
Interquartile range (IQR)0.057

Descriptive statistics

Standard deviation0.03584788838
Coefficient of variation (CV)0.01003209559
Kurtosis-0.821607941
Mean3.573320058
Median Absolute Deviation (MAD)0.027
Skewness0.2944963319
Sum128571.629
Variance0.001285071101
MonotonicityNot monotonic
2024-08-10T10:50:26.793143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.559 476
 
1.3%
3.555 457
 
1.3%
3.552 454
 
1.3%
3.553 439
 
1.2%
3.563 436
 
1.2%
3.542 434
 
1.2%
3.547 430
 
1.2%
3.55 425
 
1.2%
3.546 424
 
1.2%
3.558 424
 
1.2%
Other values (184) 31582
87.0%
ValueCountFrequency (%)
3.476 1
< 0.1%
3.477 1
< 0.1%
3.478 1
< 0.1%
3.479 1
< 0.1%
3.48 2
< 0.1%
ValueCountFrequency (%)
3.677 3
< 0.1%
3.675 1
 
< 0.1%
3.674 1
 
< 0.1%
3.671 6
< 0.1%
3.67 4
< 0.1%

TTQVFLL
Real number (ℝ)

Distinct92
Distinct (%)0.3%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.062660126
Minimum3.011
Maximum3.112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:27.113941image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.011
5-th percentile3.043
Q13.055
median3.063
Q33.071
95-th percentile3.082
Maximum3.112
Range0.101
Interquartile range (IQR)0.016

Descriptive statistics

Standard deviation0.01197337082
Coefficient of variation (CV)0.003909467693
Kurtosis0.092081522
Mean3.062660126
Median Absolute Deviation (MAD)0.008
Skewness0.009925686341
Sum110197.574
Variance0.0001433616088
MonotonicityNot monotonic
2024-08-10T10:50:27.421750image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.063 1345
 
3.7%
3.067 1345
 
3.7%
3.06 1326
 
3.7%
3.064 1280
 
3.5%
3.061 1195
 
3.3%
3.066 1180
 
3.2%
3.057 1159
 
3.2%
3.059 1154
 
3.2%
3.065 1111
 
3.1%
3.062 1064
 
2.9%
Other values (82) 23822
65.6%
ValueCountFrequency (%)
3.011 1
 
< 0.1%
3.019 2
 
< 0.1%
3.021 3
 
< 0.1%
3.023 8
< 0.1%
3.024 6
< 0.1%
ValueCountFrequency (%)
3.112 2
 
< 0.1%
3.11 3
< 0.1%
3.109 1
 
< 0.1%
3.108 6
< 0.1%
3.107 2
 
< 0.1%

EEIRTMR
Real number (ℝ)

Distinct110
Distinct (%)0.3%
Missing333
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean3.134396543
Minimum3.077
Maximum3.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:27.726246image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.077
5-th percentile3.108
Q13.124
median3.135
Q33.145
95-th percentile3.158
Maximum3.19
Range0.113
Interquartile range (IQR)0.021

Descriptive statistics

Standard deviation0.01526828097
Coefficient of variation (CV)0.004871202722
Kurtosis-0.1588337726
Mean3.134396543
Median Absolute Deviation (MAD)0.011
Skewness-0.1563123289
Sum112778.722
Variance0.0002331204038
MonotonicityNot monotonic
2024-08-10T10:50:28.061471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.137 987
 
2.7%
3.139 968
 
2.7%
3.14 951
 
2.6%
3.131 951
 
2.6%
3.143 950
 
2.6%
3.133 921
 
2.5%
3.136 903
 
2.5%
3.141 893
 
2.5%
3.135 869
 
2.4%
3.145 857
 
2.4%
Other values (100) 26731
73.6%
ValueCountFrequency (%)
3.077 1
 
< 0.1%
3.08 2
 
< 0.1%
3.081 1
 
< 0.1%
3.082 6
< 0.1%
3.083 1
 
< 0.1%
ValueCountFrequency (%)
3.19 1
< 0.1%
3.189 1
< 0.1%
3.187 1
< 0.1%
3.186 2
< 0.1%
3.184 2
< 0.1%

KDQUJOB
Real number (ℝ)

Distinct1569
Distinct (%)4.4%
Missing331
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean68.48444035
Minimum62.938
Maximum73.949
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:28.372583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum62.938
5-th percentile65.061
Q167.585
median69.001
Q369.627
95-th percentile70.438
Maximum73.949
Range11.011
Interquartile range (IQR)2.042

Descriptive statistics

Standard deviation1.66547135
Coefficient of variation (CV)0.02431897438
Kurtosis-0.02934310537
Mean68.48444035
Median Absolute Deviation (MAD)0.812
Skewness-0.8782455593
Sum2464275.617
Variance2.773794818
MonotonicityNot monotonic
2024-08-10T10:50:28.656419image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68.938 429
 
1.2%
69.063 426
 
1.2%
69.188 362
 
1.0%
69.688 344
 
0.9%
69.25 331
 
0.9%
69.125 314
 
0.9%
69 303
 
0.8%
68.563 284
 
0.8%
69.438 277
 
0.8%
68.688 273
 
0.8%
Other values (1559) 32640
89.9%
(Missing) 331
 
0.9%
ValueCountFrequency (%)
62.938 1
< 0.1%
63.158 1
< 0.1%
63.438 1
< 0.1%
63.5 1
< 0.1%
63.563 2
< 0.1%
ValueCountFrequency (%)
73.949 1
< 0.1%
73.688 1
< 0.1%
73.55 1
< 0.1%
73.545 1
< 0.1%
73.256 1
< 0.1%

AUESMVQ
Real number (ℝ)

Distinct34
Distinct (%)0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.16037637
Minimum1.146
Maximum1.209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:28.947544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.146
5-th percentile1.151
Q11.155
median1.159
Q31.166
95-th percentile1.172
Maximum1.209
Range0.063
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.006570309463
Coefficient of variation (CV)0.005662222732
Kurtosis-0.7746881485
Mean1.16037637
Median Absolute Deviation (MAD)0.005
Skewness0.3929081463
Sum42123.983
Variance4.316896644 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:29.214332image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1.156 3122
 
8.6%
1.159 2671
 
7.4%
1.157 2545
 
7.0%
1.158 2174
 
6.0%
1.155 2057
 
5.7%
1.154 1863
 
5.1%
1.167 1652
 
4.5%
1.153 1640
 
4.5%
1.16 1581
 
4.4%
1.161 1409
 
3.9%
Other values (24) 15588
42.9%
ValueCountFrequency (%)
1.146 2
 
< 0.1%
1.147 39
 
0.1%
1.148 177
 
0.5%
1.149 346
1.0%
1.15 763
2.1%
ValueCountFrequency (%)
1.209 1
 
< 0.1%
1.178 3
 
< 0.1%
1.177 6
 
< 0.1%
1.176 53
 
0.1%
1.175 259
0.7%

XKEMMHR
Real number (ℝ)

Distinct32
Distinct (%)0.1%
Missing12
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.20457994
Minimum1.186
Maximum1.218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:29.495028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.186
5-th percentile1.191
Q11.199
median1.208
Q31.21
95-th percentile1.213
Maximum1.218
Range0.032
Interquartile range (IQR)0.011

Descriptive statistics

Standard deviation0.007313476797
Coefficient of variation (CV)0.00607139182
Kurtosis-0.7990527667
Mean1.20457994
Median Absolute Deviation (MAD)0.003
Skewness-0.7304462268
Sum43728.661
Variance5.348694286 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:29.769405image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1.208 4599
 
12.7%
1.211 4215
 
11.6%
1.209 2682
 
7.4%
1.21 2387
 
6.6%
1.213 2041
 
5.6%
1.205 1860
 
5.1%
1.207 1669
 
4.6%
1.212 1641
 
4.5%
1.192 1609
 
4.4%
1.194 1444
 
4.0%
Other values (22) 12155
33.5%
ValueCountFrequency (%)
1.186 5
 
< 0.1%
1.187 19
 
0.1%
1.188 94
 
0.3%
1.189 503
1.4%
1.19 507
1.4%
ValueCountFrequency (%)
1.218 1
 
< 0.1%
1.216 154
 
0.4%
1.215 269
 
0.7%
1.214 493
 
1.4%
1.213 2041
5.6%

CNGIUEP
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.33026439
Minimum3.308
Maximum3.356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:30.012026image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.308
5-th percentile3.32
Q13.324
median3.332
Q33.336
95-th percentile3.344
Maximum3.356
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007655096884
Coefficient of variation (CV)0.002298645389
Kurtosis-0.06029217681
Mean3.33026439
Median Absolute Deviation (MAD)0.004
Skewness0.1723794493
Sum120921.9
Variance5.860050831 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:30.250815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.332 8124
22.4%
3.328 7060
19.4%
3.336 5431
15.0%
3.324 4736
13.0%
3.32 3859
10.6%
3.34 3090
 
8.5%
3.316 1526
 
4.2%
3.344 1221
 
3.4%
3.348 693
 
1.9%
3.352 330
 
0.9%
Other values (3) 240
 
0.7%
ValueCountFrequency (%)
3.308 49
 
0.1%
3.312 190
 
0.5%
3.316 1526
 
4.2%
3.32 3859
10.6%
3.324 4736
13.0%
ValueCountFrequency (%)
3.356 1
 
< 0.1%
3.352 330
 
0.9%
3.348 693
 
1.9%
3.344 1221
 
3.4%
3.34 3090
8.5%

OADGFBJ
Real number (ℝ)

Distinct26
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1946394933
Minimum0.08
Maximum0.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:30.486340image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.16
Q10.18
median0.19
Q30.21
95-th percentile0.23
Maximum0.33
Range0.25
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.02577025749
Coefficient of variation (CV)0.1323999413
Kurtosis2.545665758
Mean0.1946394933
Median Absolute Deviation (MAD)0.01
Skewness-0.07641697513
Sum7067.36
Variance0.0006641061711
MonotonicityNot monotonic
2024-08-10T10:50:30.756600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.2 7048
19.4%
0.19 6936
19.1%
0.21 5270
14.5%
0.18 5265
14.5%
0.17 3033
8.4%
0.22 2936
8.1%
0.23 1254
 
3.5%
0.16 1233
 
3.4%
0.24 510
 
1.4%
0.15 485
 
1.3%
Other values (16) 2340
 
6.4%
ValueCountFrequency (%)
0.08 2
 
< 0.1%
0.09 36
 
0.1%
0.1 91
 
0.3%
0.11 225
0.6%
0.12 326
0.9%
ValueCountFrequency (%)
0.33 1
 
< 0.1%
0.32 1
 
< 0.1%
0.31 3
 
< 0.1%
0.3 31
 
0.1%
0.29 78
0.2%

JUMKXBC
Real number (ℝ)

Distinct26
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean38.91567061
Minimum16
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:31.037286image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile32
Q136
median38
Q342
95-th percentile46
Maximum66
Range50
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.159420512
Coefficient of variation (CV)0.1325795093
Kurtosis2.540640481
Mean38.91567061
Median Absolute Deviation (MAD)2
Skewness-0.102961656
Sum1413028
Variance26.61962002
MonotonicityNot monotonic
2024-08-10T10:50:31.303258image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
40 7071
19.5%
38 6827
18.8%
36 5383
14.8%
42 5279
14.5%
34 2916
8.0%
44 2886
7.9%
46 1354
 
3.7%
32 1314
 
3.6%
48 468
 
1.3%
30 458
 
1.3%
Other values (16) 2354
 
6.5%
ValueCountFrequency (%)
16 7
 
< 0.1%
18 33
 
0.1%
20 77
 
0.2%
22 256
0.7%
24 319
0.9%
ValueCountFrequency (%)
66 1
 
< 0.1%
64 1
 
< 0.1%
62 7
 
< 0.1%
60 24
 
0.1%
58 84
0.2%

UZPPCUZ
Real number (ℝ)

Distinct209
Distinct (%)0.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.1296329
Minimum0.053376
Maximum0.207328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:31.580914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.053376
5-th percentile0.106112
Q10.119952
median0.127376
Q30.139776
95-th percentile0.153456
Maximum0.207328
Range0.153952
Interquartile range (IQR)0.019824

Descriptive statistics

Standard deviation0.01713304363
Coefficient of variation (CV)0.1321658593
Kurtosis2.462781921
Mean0.1296329
Median Absolute Deviation (MAD)0.007856
Skewness-0.08519691878
Sum4706.9706
Variance0.0002935411841
MonotonicityNot monotonic
2024-08-10T10:50:31.912046image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.126616 1550
 
4.3%
0.13328 1468
 
4.0%
0.13312 1431
 
3.9%
0.126464 1305
 
3.6%
0.139944 1214
 
3.3%
0.119952 1089
 
3.0%
0.139776 1051
 
2.9%
0.126312 1009
 
2.8%
0.13296 993
 
2.7%
0.119808 969
 
2.7%
Other values (199) 24231
66.7%
ValueCountFrequency (%)
0.053376 2
 
< 0.1%
0.05976 1
 
< 0.1%
0.059904 6
< 0.1%
0.059976 11
< 0.1%
0.060048 13
< 0.1%
ValueCountFrequency (%)
0.207328 1
 
< 0.1%
0.206832 2
< 0.1%
0.206584 2
< 0.1%
0.206088 4
< 0.1%
0.20584 1
 
< 0.1%

ZUMBXNE
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.325639548
Minimum3.304
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:32.193105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.312
Q13.32
median3.324
Q33.332
95-th percentile3.34
Maximum3.352
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007709525927
Coefficient of variation (CV)0.002318208517
Kurtosis-0.03666937209
Mean3.325639548
Median Absolute Deviation (MAD)0.004
Skewness0.1865613975
Sum120753.972
Variance5.943679001 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:32.433797image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.328 7594
20.9%
3.324 7480
20.6%
3.332 5157
14.2%
3.32 5121
14.1%
3.316 3923
10.8%
3.336 2759
 
7.6%
3.312 1956
 
5.4%
3.34 958
 
2.6%
3.344 726
 
2.0%
3.308 313
 
0.9%
Other values (3) 323
 
0.9%
ValueCountFrequency (%)
3.304 56
 
0.2%
3.308 313
 
0.9%
3.312 1956
 
5.4%
3.316 3923
10.8%
3.32 5121
14.1%
ValueCountFrequency (%)
3.352 1
 
< 0.1%
3.348 266
 
0.7%
3.344 726
 
2.0%
3.34 958
 
2.6%
3.336 2759
7.6%

HIFPGGQ
Real number (ℝ)

Distinct75
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.431285321
Minimum0.85
Maximum1.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:32.696692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.85
5-th percentile1.26
Q11.33
median1.41
Q31.52
95-th percentile1.66
Maximum1.87
Range1.02
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.12595289
Coefficient of variation (CV)0.08799984751
Kurtosis-0.5845122787
Mean1.431285321
Median Absolute Deviation (MAD)0.09
Skewness0.4351472903
Sum51969.97
Variance0.01586413049
MonotonicityNot monotonic
2024-08-10T10:50:33.042365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.34 1231
 
3.4%
1.33 1222
 
3.4%
1.35 1213
 
3.3%
1.37 1211
 
3.3%
1.36 1194
 
3.3%
1.31 1172
 
3.2%
1.32 1139
 
3.1%
1.39 1093
 
3.0%
1.38 1075
 
3.0%
1.3 1055
 
2.9%
Other values (65) 24705
68.0%
ValueCountFrequency (%)
0.85 1
 
< 0.1%
1.01 1
 
< 0.1%
1.14 4
< 0.1%
1.15 7
< 0.1%
1.16 9
< 0.1%
ValueCountFrequency (%)
1.87 1
 
< 0.1%
1.86 1
 
< 0.1%
1.85 1
 
< 0.1%
1.83 6
< 0.1%
1.82 3
< 0.1%

KXISVUL
Real number (ℝ)

Distinct76
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean286.2253925
Minimum162
Maximum372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:33.369923image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile252
Q1266
median282
Q3304
95-th percentile332
Maximum372
Range210
Interquartile range (IQR)38

Descriptive statistics

Standard deviation25.16760714
Coefficient of variation (CV)0.08792933055
Kurtosis-0.5745637402
Mean286.2253925
Median Absolute Deviation (MAD)18
Skewness0.4371481473
Sum10392844
Variance633.4084494
MonotonicityNot monotonic
2024-08-10T10:50:33.799911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
266 1242
 
3.4%
272 1237
 
3.4%
274 1230
 
3.4%
270 1227
 
3.4%
264 1186
 
3.3%
268 1184
 
3.3%
278 1111
 
3.1%
262 1098
 
3.0%
280 1098
 
3.0%
276 1066
 
2.9%
Other values (66) 24631
67.8%
ValueCountFrequency (%)
162 1
 
< 0.1%
198 1
 
< 0.1%
224 2
 
< 0.1%
228 2
 
< 0.1%
230 11
< 0.1%
ValueCountFrequency (%)
372 2
< 0.1%
370 2
< 0.1%
368 4
< 0.1%
366 2
< 0.1%
364 3
< 0.1%

HGXUJOI
Real number (ℝ)

Distinct686
Distinct (%)1.9%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9518711218
Minimum0.558432
Maximum1.259496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:34.304614image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.558432
5-th percentile0.835632
Q10.885248
median0.938496
Q31.012928
95-th percentile1.10224
Maximum1.259496
Range0.701064
Interquartile range (IQR)0.12768

Descriptive statistics

Standard deviation0.08363541159
Coefficient of variation (CV)0.08786421783
Kurtosis-0.5769885834
Mean0.9518711218
Median Absolute Deviation (MAD)0.06096
Skewness0.4379788499
Sum34562.44043
Variance0.006994882072
MonotonicityNot monotonic
2024-08-10T10:50:34.811155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.885248 314
 
0.9%
0.911872 299
 
0.8%
0.89748 298
 
0.8%
0.891904 283
 
0.8%
0.89856 275
 
0.8%
0.905216 273
 
0.8%
0.910776 269
 
0.7%
0.924072 265
 
0.7%
0.878592 263
 
0.7%
0.871936 260
 
0.7%
Other values (676) 33511
92.3%
ValueCountFrequency (%)
0.558432 1
< 0.1%
0.636672 1
< 0.1%
0.745472 1
< 0.1%
0.753032 1
< 0.1%
0.759696 1
< 0.1%
ValueCountFrequency (%)
1.259496 1
< 0.1%
1.23284 1
< 0.1%
1.22692 1
< 0.1%
1.22544 2
< 0.1%
1.22176 2
< 0.1%

AUSDIEL
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.319447976
Minimum3.296
Maximum3.344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:35.268761image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.296
5-th percentile3.308
Q13.316
median3.32
Q33.324
95-th percentile3.332
Maximum3.344
Range0.048
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.007667595042
Coefficient of variation (CV)0.002309900651
Kurtosis-0.07604079982
Mean3.319447976
Median Absolute Deviation (MAD)0.004
Skewness0.164255608
Sum120529.156
Variance5.879201372 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:35.618373image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.32 8566
23.6%
3.316 6156
17.0%
3.324 5865
16.2%
3.328 4288
11.8%
3.312 4225
11.6%
3.308 3403
 
9.4%
3.332 1462
 
4.0%
3.304 1008
 
2.8%
3.336 627
 
1.7%
3.34 583
 
1.6%
Other values (3) 127
 
0.3%
ValueCountFrequency (%)
3.296 10
 
< 0.1%
3.3 96
 
0.3%
3.304 1008
 
2.8%
3.308 3403
9.4%
3.312 4225
11.6%
ValueCountFrequency (%)
3.344 21
 
0.1%
3.34 583
 
1.6%
3.336 627
 
1.7%
3.332 1462
 
4.0%
3.328 4288
11.8%

MKHJGMF
Real number (ℝ)

Distinct75
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.106571468
Minimum0.17
Maximum3.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:36.116967image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.17
5-th percentile2.92
Q13.02
median3.1
Q33.18
95-th percentile3.34
Maximum3.51
Range3.34
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.1240052081
Coefficient of variation (CV)0.03991706271
Kurtosis8.236669728
Mean3.106571468
Median Absolute Deviation (MAD)0.08
Skewness-0.01699471131
Sum112799.61
Variance0.01537729164
MonotonicityNot monotonic
2024-08-10T10:50:36.624175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.1 1328
 
3.7%
3.11 1279
 
3.5%
3.08 1278
 
3.5%
3.09 1264
 
3.5%
3.12 1233
 
3.4%
3.13 1222
 
3.4%
3.07 1157
 
3.2%
3.14 1144
 
3.2%
3.15 1127
 
3.1%
3.16 1040
 
2.9%
Other values (65) 24238
66.7%
ValueCountFrequency (%)
0.17 1
 
< 0.1%
2.75 2
 
< 0.1%
2.77 1
 
< 0.1%
2.79 1
 
< 0.1%
2.8 5
< 0.1%
ValueCountFrequency (%)
3.51 1
 
< 0.1%
3.5 1
 
< 0.1%
3.48 3
< 0.1%
3.47 3
< 0.1%
3.46 6
< 0.1%

ULYIQYO
Real number (ℝ)

Distinct76
Distinct (%)0.2%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean621.3369871
Minimum36
Maximum704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:37.082701image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile584
Q1602
median620
Q3636
95-th percentile668
Maximum704
Range668
Interquartile range (IQR)34

Descriptive statistics

Standard deviation24.84765149
Coefficient of variation (CV)0.03999062023
Kurtosis8.055742642
Mean621.3369871
Median Absolute Deviation (MAD)16
Skewness-0.01386927326
Sum22560746
Variance617.4057844
MonotonicityNot monotonic
2024-08-10T10:50:37.432458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
618 1343
 
3.7%
620 1276
 
3.5%
624 1271
 
3.5%
622 1249
 
3.4%
626 1186
 
3.3%
616 1170
 
3.2%
628 1170
 
3.2%
614 1157
 
3.2%
632 1114
 
3.1%
630 1099
 
3.0%
Other values (66) 24275
66.8%
ValueCountFrequency (%)
36 1
 
< 0.1%
552 1
 
< 0.1%
554 2
< 0.1%
556 3
< 0.1%
558 2
< 0.1%
ValueCountFrequency (%)
704 1
 
< 0.1%
698 2
 
< 0.1%
696 3
 
< 0.1%
694 8
< 0.1%
692 7
< 0.1%

BYEQVGG
Real number (ℝ)

Distinct673
Distinct (%)1.9%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.062446971
Minimum0.113424
Maximum2.3268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:37.974757image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.113424
5-th percentile1.941216
Q12.001048
median2.0584
Q32.110504
95-th percentile2.21776
Maximum2.3268
Range2.213376
Interquartile range (IQR)0.109456

Descriptive statistics

Standard deviation0.08217290986
Coefficient of variation (CV)0.03984243524
Kurtosis8.286105998
Mean2.062446971
Median Absolute Deviation (MAD)0.054944
Skewness-0.0124767454
Sum74887.4495
Variance0.006752387115
MonotonicityNot monotonic
2024-08-10T10:50:38.500000image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.0584 398
 
1.1%
2.06504 352
 
1.0%
2.05176 343
 
0.9%
2.03848 338
 
0.9%
2.04512 320
 
0.9%
2.08496 309
 
0.9%
2.07168 309
 
0.9%
2.042656 284
 
0.8%
2.07832 284
 
0.8%
2.049288 276
 
0.8%
Other values (663) 33097
91.1%
ValueCountFrequency (%)
0.113424 1
< 0.1%
1.834848 2
< 0.1%
1.84368 1
< 0.1%
1.86144 2
< 0.1%
1.861488 1
< 0.1%
ValueCountFrequency (%)
2.3268 1
 
< 0.1%
2.308512 1
 
< 0.1%
2.305152 4
< 0.1%
2.30408 1
 
< 0.1%
2.302368 1
 
< 0.1%

OMIIMXP
Real number (ℝ)

Distinct1756
Distinct (%)4.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean28.70219868
Minimum21.248
Maximum49.125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:38.778979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum21.248
5-th percentile26.688
Q127.796
median28.625
Q329.451
95-th percentile30.855
Maximum49.125
Range27.877
Interquartile range (IQR)1.655

Descriptive statistics

Standard deviation1.449250372
Coefficient of variation (CV)0.05049266046
Kurtosis9.978124472
Mean28.70219868
Median Absolute Deviation (MAD)0.826
Skewness1.606580673
Sum1042176.834
Variance2.100326642
MonotonicityNot monotonic
2024-08-10T10:50:39.083524image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.438 386
 
1.1%
28.75 349
 
1.0%
28.875 341
 
0.9%
29.5 325
 
0.9%
29 312
 
0.9%
28.125 304
 
0.8%
27.688 303
 
0.8%
28.938 299
 
0.8%
28.313 291
 
0.8%
29.188 289
 
0.8%
Other values (1746) 33111
91.2%
ValueCountFrequency (%)
21.248 1
< 0.1%
21.747 1
< 0.1%
21.771 1
< 0.1%
21.809 1
< 0.1%
22.043 1
< 0.1%
ValueCountFrequency (%)
49.125 1
< 0.1%
48.513 1
< 0.1%
45.25 1
< 0.1%
45.063 1
< 0.1%
43.44 1
< 0.1%

WGQRBHJ
Real number (ℝ)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.042666189
Minimum3.012
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:39.369225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.012
5-th percentile3.028
Q13.036
median3.044
Q33.048
95-th percentile3.056
Maximum3.068
Range0.056
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008716040666
Coefficient of variation (CV)0.002864606277
Kurtosis0.2525735255
Mean3.042666189
Median Absolute Deviation (MAD)0.004
Skewness-0.05013771786
Sum110491.38
Variance7.596936489 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:39.596206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3.048 7205
19.8%
3.044 6426
17.7%
3.036 5491
15.1%
3.04 5114
14.1%
3.052 4109
11.3%
3.032 3311
9.1%
3.024 1121
 
3.1%
3.06 1028
 
2.8%
3.028 925
 
2.5%
3.056 691
 
1.9%
Other values (5) 893
 
2.5%
ValueCountFrequency (%)
3.012 2
 
< 0.1%
3.016 182
 
0.5%
3.02 81
 
0.2%
3.024 1121
3.1%
3.028 925
2.5%
ValueCountFrequency (%)
3.068 253
 
0.7%
3.064 375
 
1.0%
3.06 1028
 
2.8%
3.056 691
 
1.9%
3.052 4109
11.3%

CTGUILF
Real number (ℝ)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.671945035
Minimum1.652
Maximum1.696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:39.858812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.652
5-th percentile1.66
Q11.668
median1.672
Q31.676
95-th percentile1.684
Maximum1.696
Range0.044
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.006920030735
Coefficient of variation (CV)0.004138910425
Kurtosis-0.2312257658
Mean1.671945035
Median Absolute Deviation (MAD)0.004
Skewness0.03119708322
Sum60715.012
Variance4.788682537 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:40.101727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.672 8765
24.1%
1.676 6961
19.2%
1.668 6747
18.6%
1.68 4254
11.7%
1.664 3822
10.5%
1.66 2604
 
7.2%
1.684 1792
 
4.9%
1.688 652
 
1.8%
1.656 590
 
1.6%
1.692 118
 
0.3%
Other values (2) 9
 
< 0.1%
ValueCountFrequency (%)
1.652 3
 
< 0.1%
1.656 590
 
1.6%
1.66 2604
 
7.2%
1.664 3822
10.5%
1.668 6747
18.6%
ValueCountFrequency (%)
1.696 6
 
< 0.1%
1.692 118
 
0.3%
1.688 652
 
1.8%
1.684 1792
4.9%
1.68 4254
11.7%

OOASVXJ
Real number (ℝ)

Distinct32
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.09278791
Minimum23
Maximum38.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:40.364814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile25.5
Q126.5
median28
Q329
95-th percentile32
Maximum38.5
Range15.5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.038152612
Coefficient of variation (CV)0.07255074215
Kurtosis1.753045837
Mean28.09278791
Median Absolute Deviation (MAD)1.5
Skewness1.121099945
Sum1020161.5
Variance4.154066069
MonotonicityNot monotonic
2024-08-10T10:50:40.610591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
26.5 4034
11.1%
27.5 3949
10.9%
27 3939
10.8%
28 3644
10.0%
28.5 3477
9.6%
26 3267
9.0%
29 3090
8.5%
29.5 2081
 
5.7%
25.5 1777
 
4.9%
30 1402
 
3.9%
Other values (22) 5654
15.6%
ValueCountFrequency (%)
23 1
 
< 0.1%
23.5 20
 
0.1%
24 43
 
0.1%
24.5 231
 
0.6%
25 735
2.0%
ValueCountFrequency (%)
38.5 2
 
< 0.1%
38 2
 
< 0.1%
37.5 12
 
< 0.1%
37 18
< 0.1%
36.5 35
0.1%

STMKCSJ
Real number (ℝ)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.042652421
Minimum3.012
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:40.857846image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.012
5-th percentile3.028
Q13.036
median3.044
Q33.048
95-th percentile3.056
Maximum3.068
Range0.056
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008722084759
Coefficient of variation (CV)0.002866605696
Kurtosis0.2587038294
Mean3.042652421
Median Absolute Deviation (MAD)0.004
Skewness-0.05379126313
Sum110490.88
Variance7.607476254 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:41.085766image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3.048 7256
20.0%
3.044 6426
17.7%
3.036 5447
15.0%
3.04 5109
14.1%
3.052 4068
11.2%
3.032 3360
9.3%
3.024 1119
 
3.1%
3.06 1049
 
2.9%
3.028 924
 
2.5%
3.056 659
 
1.8%
Other values (5) 897
 
2.5%
ValueCountFrequency (%)
3.012 6
 
< 0.1%
3.016 184
 
0.5%
3.02 79
 
0.2%
3.024 1119
3.1%
3.028 924
2.5%
ValueCountFrequency (%)
3.068 245
 
0.7%
3.064 383
 
1.1%
3.06 1049
 
2.9%
3.056 659
 
1.8%
3.052 4068
11.2%

GOBJALH
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9270846505
Minimum0.908
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:41.337823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.908
5-th percentile0.916
Q10.924
median0.928
Q30.932
95-th percentile0.936
Maximum0.944
Range0.036
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.005710359533
Coefficient of variation (CV)0.006159480183
Kurtosis-0.1041063588
Mean0.9270846505
Median Absolute Deviation (MAD)0.004
Skewness-0.4063477407
Sum33666.152
Variance3.260820599 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:41.579554image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.928 11187
30.8%
0.932 8885
24.5%
0.924 6197
17.1%
0.92 4371
 
12.0%
0.936 2455
 
6.8%
0.916 2080
 
5.7%
0.912 619
 
1.7%
0.94 494
 
1.4%
0.944 22
 
0.1%
0.908 4
 
< 0.1%
ValueCountFrequency (%)
0.908 4
 
< 0.1%
0.912 619
 
1.7%
0.916 2080
 
5.7%
0.92 4371
12.0%
0.924 6197
17.1%
ValueCountFrequency (%)
0.944 22
 
0.1%
0.94 494
 
1.4%
0.936 2455
 
6.8%
0.932 8885
24.5%
0.928 11187
30.8%

SRQKQTX
Real number (ℝ)

Distinct31
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.13475519
Minimum23.5
Maximum38.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:41.833864image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum23.5
5-th percentile25.5
Q126.5
median28
Q329
95-th percentile32
Maximum38.5
Range15
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.045851233
Coefficient of variation (CV)0.0727161555
Kurtosis1.739782773
Mean28.13475519
Median Absolute Deviation (MAD)1.5
Skewness1.11829248
Sum1021685.5
Variance4.185507269
MonotonicityNot monotonic
2024-08-10T10:50:42.085649image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
26.5 3976
10.9%
27 3924
10.8%
27.5 3894
10.7%
28 3678
10.1%
28.5 3505
9.7%
26 3237
8.9%
29 3130
8.6%
29.5 2163
 
6.0%
25.5 1645
 
4.5%
30 1447
 
4.0%
Other values (21) 5715
15.7%
ValueCountFrequency (%)
23.5 16
 
< 0.1%
24 44
 
0.1%
24.5 218
 
0.6%
25 691
1.9%
25.5 1645
4.5%
ValueCountFrequency (%)
38.5 2
 
< 0.1%
38 3
 
< 0.1%
37.5 13
 
< 0.1%
37 20
0.1%
36.5 33
0.1%

PRVIFOQ
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.327061636
Minimum3.304
Maximum3.352
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:42.342305image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.304
5-th percentile3.316
Q13.32
median3.328
Q33.332
95-th percentile3.34
Maximum3.352
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.00768780677
Coefficient of variation (CV)0.002310689615
Kurtosis-0.06240840754
Mean3.327061636
Median Absolute Deviation (MAD)0.004
Skewness0.164020134
Sum120805.608
Variance5.910237293 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:42.599692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.328 8692
23.9%
3.324 6280
17.3%
3.332 5680
15.6%
3.32 4366
12.0%
3.336 3735
10.3%
3.316 3639
10.0%
3.34 1452
 
4.0%
3.312 1124
 
3.1%
3.344 672
 
1.9%
3.348 502
 
1.4%
Other values (3) 168
 
0.5%
ValueCountFrequency (%)
3.304 34
 
0.1%
3.308 127
 
0.3%
3.312 1124
 
3.1%
3.316 3639
10.0%
3.32 4366
12.0%
ValueCountFrequency (%)
3.352 7
 
< 0.1%
3.348 502
 
1.4%
3.344 672
 
1.9%
3.34 1452
 
4.0%
3.336 3735
10.3%

POUQMMG
Real number (ℝ)

Distinct33
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.054825117
Minimum0.18
Maximum1.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:42.850318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.18
5-th percentile1
Q11.03
median1.05
Q31.08
95-th percentile1.11
Maximum1.22
Range1.04
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.03717370532
Coefficient of variation (CV)0.03524158149
Kurtosis8.464863266
Mean1.054825117
Median Absolute Deviation (MAD)0.03
Skewness-0.2529751472
Sum38300.7
Variance0.001381884367
MonotonicityNot monotonic
2024-08-10T10:50:43.140171image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1.06 3826
10.5%
1.05 3763
10.4%
1.07 3600
9.9%
1.04 3476
9.6%
1.03 3279
9.0%
1.08 3225
8.9%
1.02 2570
7.1%
1.09 2470
6.8%
1.01 2095
 
5.8%
1.1 1875
 
5.2%
Other values (23) 6131
16.9%
ValueCountFrequency (%)
0.18 1
 
< 0.1%
0.91 4
 
< 0.1%
0.92 6
 
< 0.1%
0.93 6
 
< 0.1%
0.94 27
0.1%
ValueCountFrequency (%)
1.22 3
 
< 0.1%
1.21 1
 
< 0.1%
1.2 9
 
< 0.1%
1.19 20
0.1%
1.18 28
0.1%

NIVQSOG
Real number (ℝ)

Distinct35
Distinct (%)0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean210.9651887
Minimum38
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:43.456538image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile200
Q1206
median210
Q3216
95-th percentile222
Maximum250
Range212
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.430843772
Coefficient of variation (CV)0.03522308026
Kurtosis8.170169054
Mean210.9651887
Median Absolute Deviation (MAD)6
Skewness-0.2574805157
Sum7660146
Variance55.21743916
MonotonicityNot monotonic
2024-08-10T10:50:43.708306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
210 3838
10.6%
212 3802
10.5%
214 3604
9.9%
208 3559
9.8%
206 3144
8.7%
216 3141
8.6%
204 2605
7.2%
218 2554
7.0%
202 2049
 
5.6%
220 1931
 
5.3%
Other values (25) 6083
16.8%
ValueCountFrequency (%)
38 1
 
< 0.1%
182 2
 
< 0.1%
184 9
< 0.1%
186 13
< 0.1%
188 22
0.1%
ValueCountFrequency (%)
250 1
 
< 0.1%
246 2
 
< 0.1%
244 3
 
< 0.1%
242 4
< 0.1%
240 9
< 0.1%

BGDAMPC
Real number (ℝ)

Distinct273
Distinct (%)0.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.7018684534
Minimum0.12024
Maximum0.82336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:44.021413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.12024
5-th percentile0.6632
Q10.684744
median0.70056
Q30.718848
95-th percentile0.74148
Maximum0.82336
Range0.70312
Interquartile range (IQR)0.034104

Descriptive statistics

Standard deviation0.02465841356
Coefficient of variation (CV)0.03513252867
Kurtosis8.507744184
Mean0.7018684534
Median Absolute Deviation (MAD)0.017424
Skewness-0.2237140271
Sum25484.84354
Variance0.0006080373595
MonotonicityNot monotonic
2024-08-10T10:50:44.326942image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.705536 1025
 
2.8%
0.69888 954
 
2.6%
0.712192 932
 
2.6%
0.718848 919
 
2.5%
0.692224 896
 
2.5%
0.685568 733
 
2.0%
0.704688 719
 
2.0%
0.711336 675
 
1.9%
0.725504 671
 
1.8%
0.69804 655
 
1.8%
Other values (263) 28131
77.5%
ValueCountFrequency (%)
0.12024 1
< 0.1%
0.593096 1
< 0.1%
0.611616 2
< 0.1%
0.612352 1
< 0.1%
0.615296 1
< 0.1%
ValueCountFrequency (%)
0.82336 1
 
< 0.1%
0.81008 2
 
< 0.1%
0.80344 8
< 0.1%
0.79968 2
 
< 0.1%
0.7968 6
< 0.1%

LPKKAWN
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.313501735
Minimum3.292
Maximum3.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:44.622338image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.292
5-th percentile3.3
Q13.308
median3.312
Q33.32
95-th percentile3.328
Maximum3.34
Range0.048
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.007749303577
Coefficient of variation (CV)0.002338705151
Kurtosis-0.01477467104
Mean3.313501735
Median Absolute Deviation (MAD)0.004
Skewness0.1721030534
Sum120313.248
Variance6.005170593 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:44.894093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
3.312 7632
21.0%
3.316 7368
20.3%
3.308 5359
14.8%
3.32 5056
13.9%
3.304 3612
9.9%
3.324 2845
 
7.8%
3.3 2132
 
5.9%
3.328 842
 
2.3%
3.332 721
 
2.0%
3.296 428
 
1.2%
Other values (3) 315
 
0.9%
ValueCountFrequency (%)
3.292 51
 
0.1%
3.296 428
 
1.2%
3.3 2132
 
5.9%
3.304 3612
9.9%
3.308 5359
14.8%
ValueCountFrequency (%)
3.34 6
 
< 0.1%
3.336 258
 
0.7%
3.332 721
 
2.0%
3.328 842
 
2.3%
3.324 2845
7.8%

NGVHWDO
Real number (ℝ)

Distinct145
Distinct (%)0.4%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.700231617
Minimum4.08
Maximum5.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:45.167737image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.08
5-th percentile4.34
Q14.48
median4.64
Q34.91
95-th percentile5.19
Maximum5.58
Range1.5
Interquartile range (IQR)0.43

Descriptive statistics

Standard deviation0.2730160951
Coefficient of variation (CV)0.05808566841
Kurtosis-0.7086043137
Mean4.700231617
Median Absolute Deviation (MAD)0.2
Skewness0.5018857791
Sum170665.41
Variance0.07453778821
MonotonicityNot monotonic
2024-08-10T10:50:45.465392image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.62 685
 
1.9%
4.63 639
 
1.8%
4.56 620
 
1.7%
4.59 609
 
1.7%
4.64 597
 
1.6%
4.6 594
 
1.6%
4.65 593
 
1.6%
4.58 590
 
1.6%
4.55 587
 
1.6%
4.61 586
 
1.6%
Other values (135) 30210
83.2%
ValueCountFrequency (%)
4.08 1
 
< 0.1%
4.13 3
 
< 0.1%
4.14 10
< 0.1%
4.15 6
< 0.1%
4.16 6
< 0.1%
ValueCountFrequency (%)
5.58 1
 
< 0.1%
5.56 2
< 0.1%
5.54 3
< 0.1%
5.53 1
 
< 0.1%
5.52 4
< 0.1%

FAIOOOV
Real number (ℝ)

Distinct1296
Distinct (%)3.6%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.114811243
Minimum2.715504
Maximum3.716232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:45.805562image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.715504
5-th percentile2.87512
Q12.970584
median3.07432
Q33.24968
95-th percentile3.43952
Maximum3.716232
Range1.000728
Interquartile range (IQR)0.279096

Descriptive statistics

Standard deviation0.1801284167
Coefficient of variation (CV)0.05782964123
Kurtosis-0.6967443775
Mean3.114811243
Median Absolute Deviation (MAD)0.129712
Skewness0.5091208808
Sum113098.7962
Variance0.03244624649
MonotonicityNot monotonic
2024-08-10T10:50:46.106555image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.057352 188
 
0.5%
3.063984 185
 
0.5%
3.08388 184
 
0.5%
3.070616 179
 
0.5%
3.053664 173
 
0.5%
3.066912 170
 
0.5%
3.077248 163
 
0.4%
3.033792 159
 
0.4%
3.08016 158
 
0.4%
3.01392 156
 
0.4%
Other values (1286) 34595
95.3%
ValueCountFrequency (%)
2.715504 1
 
< 0.1%
2.729088 2
< 0.1%
2.73568 3
< 0.1%
2.742336 2
< 0.1%
2.74896 2
< 0.1%
ValueCountFrequency (%)
3.716232 1
< 0.1%
3.709584 1
< 0.1%
3.676344 1
< 0.1%
3.674128 2
< 0.1%
3.67188 1
< 0.1%

OYSQKAH
Real number (ℝ)

Distinct1707
Distinct (%)4.7%
Missing14
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean33.22635915
Minimum22.27815223
Maximum44.90558175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:46.419122image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum22.27815223
5-th percentile31.0067908
Q132.35704875
median33.24902617
Q334.11289793
95-th percentile35.3125
Maximum44.90558175
Range22.62742952
Interquartile range (IQR)1.755849184

Descriptive statistics

Standard deviation1.370967696
Coefficient of variation (CV)0.04126144819
Kurtosis2.02419406
Mean33.22635915
Median Absolute Deviation (MAD)0.87597383
Skewness0.09702117197
Sum1206116.837
Variance1.879552425
MonotonicityNot monotonic
2024-08-10T10:50:46.732978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.9375 357
 
1.0%
33.6875 334
 
0.9%
33.375 306
 
0.8%
34.125 302
 
0.8%
34.875 300
 
0.8%
34 296
 
0.8%
34.5 294
 
0.8%
33.5625 291
 
0.8%
34.0625 287
 
0.8%
34.3125 280
 
0.8%
Other values (1697) 33253
91.6%
ValueCountFrequency (%)
22.27815223 1
< 0.1%
23.60812963 1
< 0.1%
23.70558598 1
< 0.1%
23.80894242 1
< 0.1%
24.1809345 1
< 0.1%
ValueCountFrequency (%)
44.90558175 1
< 0.1%
44.59345718 1
< 0.1%
44 1
< 0.1%
42.75 1
< 0.1%
42.67603799 1
< 0.1%

UPSDFCS
Real number (ℝ)

Distinct10543
Distinct (%)29.0%
Missing14
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.956424047
Minimum-1.624385599
Maximum4.383363472
Zeros33
Zeros (%)0.1%
Negative97
Negative (%)0.3%
Memory size567.4 KiB
2024-08-10T10:50:47.040870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-1.624385599
5-th percentile0.795058219
Q11.596837945
median2.0625
Q32.375
95-th percentile2.875
Maximum4.383363472
Range6.007749071
Interquartile range (IQR)0.7781620553

Descriptive statistics

Standard deviation0.6272529617
Coefficient of variation (CV)0.3206119668
Kurtosis0.4991456193
Mean1.956424047
Median Absolute Deviation (MAD)0.3717447859
Skewness-0.5351774333
Sum71018.19291
Variance0.393446278
MonotonicityNot monotonic
2024-08-10T10:50:47.330736image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.1875 1214
 
3.3%
2.3125 1191
 
3.3%
2.25 1162
 
3.2%
2.125 1133
 
3.1%
2.375 1017
 
2.8%
2.0625 1001
 
2.8%
2.4375 942
 
2.6%
2.5 779
 
2.1%
2 751
 
2.1%
1.9375 684
 
1.9%
Other values (10533) 26426
72.8%
ValueCountFrequency (%)
-1.624385599 1
< 0.1%
-1.242622318 1
< 0.1%
-1.1875 1
< 0.1%
-1.060715458 1
< 0.1%
-0.8388243753 1
< 0.1%
ValueCountFrequency (%)
4.383363472 1
< 0.1%
4.273719008 1
< 0.1%
4.095530788 1
< 0.1%
4.001760951 1
< 0.1%
3.984875884 1
< 0.1%

SLCKDWR
Real number (ℝ)

Distinct69
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.774357383
Minimum9.445
Maximum10.149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:47.634535image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum9.445
5-th percentile9.609
Q19.704
median9.776
Q39.849
95-th percentile9.947
Maximum10.149
Range0.704
Interquartile range (IQR)0.145

Descriptive statistics

Standard deviation0.098828243
Coefficient of variation (CV)0.01011097089
Kurtosis0.06867219592
Mean9.774357383
Median Absolute Deviation (MAD)0.072
Skewness-0.03393427989
Sum354946.014
Variance0.009767021614
MonotonicityNot monotonic
2024-08-10T10:50:51.693100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.752 2880
 
7.9%
9.704 2483
 
6.8%
9.777 2364
 
6.5%
9.801 2317
 
6.4%
9.825 2286
 
6.3%
9.729 1974
 
5.4%
9.776 1467
 
4.0%
9.681 1219
 
3.4%
9.633 1187
 
3.3%
9.657 1168
 
3.2%
Other values (59) 16969
46.7%
ValueCountFrequency (%)
9.445 12
 
< 0.1%
9.468 23
 
0.1%
9.491 2
 
< 0.1%
9.492 139
0.4%
9.515 240
0.7%
ValueCountFrequency (%)
10.149 1
 
< 0.1%
10.123 2
 
< 0.1%
10.099 4
 
< 0.1%
10.097 5
 
< 0.1%
10.073 16
< 0.1%

QASZGHA
Real number (ℝ)

Distinct334
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.932636917
Minimum7.419
Maximum8.449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:52.248034image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum7.419
5-th percentile7.642
Q17.824
median7.93
Q38.026
95-th percentile8.228
Maximum8.449
Range1.03
Interquartile range (IQR)0.202

Descriptive statistics

Standard deviation0.163965499
Coefficient of variation (CV)0.02066973451
Kurtosis0.02334720202
Mean7.932636917
Median Absolute Deviation (MAD)0.097
Skewness0.007588903873
Sum288065.777
Variance0.02688468487
MonotonicityNot monotonic
2024-08-10T10:50:52.701008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.008 1406
 
3.9%
7.924 1074
 
3.0%
7.902 1054
 
2.9%
7.93 1053
 
2.9%
7.896 853
 
2.3%
7.98 836
 
2.3%
8.014 825
 
2.3%
7.89 801
 
2.2%
7.812 776
 
2.1%
7.986 731
 
2.0%
Other values (324) 26905
74.1%
ValueCountFrequency (%)
7.419 2
 
< 0.1%
7.439 4
 
< 0.1%
7.444 7
< 0.1%
7.476 11
< 0.1%
7.482 13
< 0.1%
ValueCountFrequency (%)
8.449 2
 
< 0.1%
8.425 5
 
< 0.1%
8.419 5
 
< 0.1%
8.415 5
 
< 0.1%
8.409 26
0.1%

EOBUBXA
Real number (ℝ)

Distinct102
Distinct (%)0.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.293787943
Minimum3.239
Maximum3.636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:53.032011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.239
5-th percentile3.272
Q13.285
median3.294
Q33.302
95-th percentile3.315
Maximum3.636
Range0.397
Interquartile range (IQR)0.017

Descriptive statistics

Standard deviation0.01305002679
Coefficient of variation (CV)0.003962011828
Kurtosis12.95934638
Mean3.293787943
Median Absolute Deviation (MAD)0.009
Skewness0.5044413834
Sum119600.734
Variance0.0001703031992
MonotonicityNot monotonic
2024-08-10T10:50:53.364170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.295 1204
 
3.3%
3.298 1200
 
3.3%
3.29 1149
 
3.2%
3.293 1147
 
3.2%
3.291 1140
 
3.1%
3.288 1124
 
3.1%
3.296 1087
 
3.0%
3.294 1070
 
2.9%
3.292 1052
 
2.9%
3.3 1028
 
2.8%
Other values (92) 25110
69.1%
ValueCountFrequency (%)
3.239 2
 
< 0.1%
3.242 1
 
< 0.1%
3.247 1
 
< 0.1%
3.249 1
 
< 0.1%
3.25 6
< 0.1%
ValueCountFrequency (%)
3.636 1
< 0.1%
3.35 1
< 0.1%
3.345 1
< 0.1%
3.344 2
< 0.1%
3.343 1
< 0.1%

JIWJHVI
Real number (ℝ)

Distinct36
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.147523065
Minimum1.131
Maximum1.212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:53.672559image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.131
5-th percentile1.14
Q11.145
median1.148
Q31.15
95-th percentile1.154
Maximum1.212
Range0.081
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.004264371536
Coefficient of variation (CV)0.003716153223
Kurtosis2.63219379
Mean1.147523065
Median Absolute Deviation (MAD)0.003
Skewness0.140483351
Sum41667.71
Variance1.818486459 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:53.968358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1.148 3870
10.7%
1.146 3288
 
9.1%
1.15 3222
 
8.9%
1.147 2948
 
8.1%
1.145 2943
 
8.1%
1.149 2725
 
7.5%
1.151 2606
 
7.2%
1.143 2236
 
6.2%
1.144 2056
 
5.7%
1.153 1855
 
5.1%
Other values (26) 8562
23.6%
ValueCountFrequency (%)
1.131 2
 
< 0.1%
1.132 1
 
< 0.1%
1.133 9
 
< 0.1%
1.134 17
< 0.1%
1.135 36
0.1%
ValueCountFrequency (%)
1.212 1
 
< 0.1%
1.211 1
 
< 0.1%
1.164 1
 
< 0.1%
1.163 5
< 0.1%
1.162 9
< 0.1%

AZLIRWB
Real number (ℝ)

SKEWED 

Distinct101
Distinct (%)0.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.285199251
Minimum0
Maximum3.336
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:54.275838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.265
Q13.277
median3.285
Q33.293
95-th percentile3.3055
Maximum3.336
Range3.336
Interquartile range (IQR)0.016

Descriptive statistics

Standard deviation0.02259272848
Coefficient of variation (CV)0.006877125787
Kurtosis12606.62878
Mean3.285199251
Median Absolute Deviation (MAD)0.008
Skewness-90.56729633
Sum119288.87
Variance0.0005104313803
MonotonicityNot monotonic
2024-08-10T10:50:54.581374image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.285 1261
 
3.5%
3.283 1231
 
3.4%
3.288 1207
 
3.3%
3.291 1204
 
3.3%
3.286 1194
 
3.3%
3.284 1156
 
3.2%
3.287 1143
 
3.1%
3.281 1136
 
3.1%
3.293 1126
 
3.1%
3.289 1122
 
3.1%
Other values (91) 24531
67.6%
ValueCountFrequency (%)
0 1
< 0.1%
2.062 1
< 0.1%
2.424 1
< 0.1%
3.237 1
< 0.1%
3.238 2
< 0.1%
ValueCountFrequency (%)
3.336 2
< 0.1%
3.334 1
< 0.1%
3.333 2
< 0.1%
3.332 1
< 0.1%
3.331 1
< 0.1%

XJCMQSV
Real number (ℝ)

SKEWED 

Distinct30
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.9553210322
Minimum0
Maximum1.115
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:54.872946image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.95
Q10.953
median0.955
Q30.958
95-th percentile0.961
Maximum1.115
Range1.115
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.007856592514
Coefficient of variation (CV)0.008224033858
Kurtosis12044.9355
Mean0.9553210322
Median Absolute Deviation (MAD)0.002
Skewness-98.78440575
Sum34688.662
Variance6.172604593 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:55.152407image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.955 4477
12.3%
0.956 4309
11.9%
0.957 4121
11.3%
0.954 3824
10.5%
0.958 3423
9.4%
0.953 3244
8.9%
0.952 2635
7.3%
0.959 2427
6.7%
0.951 1673
 
4.6%
0.96 1611
 
4.4%
Other values (20) 4567
12.6%
ValueCountFrequency (%)
0 2
 
< 0.1%
0.943 3
 
< 0.1%
0.944 5
 
< 0.1%
0.945 25
 
0.1%
0.946 79
0.2%
ValueCountFrequency (%)
1.115 1
 
< 0.1%
1.004 1
 
< 0.1%
1.003 2
 
< 0.1%
0.968 1
 
< 0.1%
0.967 5
< 0.1%

DCDCWXQ
Real number (ℝ)

SKEWED 

Distinct50
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.796449698
Minimum1.212
Maximum1.824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:55.441784image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.212
5-th percentile1.787
Q11.793
median1.796
Q31.8
95-th percentile1.806
Maximum1.824
Range0.612
Interquartile range (IQR)0.007

Descriptive statistics

Standard deviation0.006404396973
Coefficient of variation (CV)0.003565029947
Kurtosis1909.19684
Mean1.796449698
Median Absolute Deviation (MAD)0.004
Skewness-20.89490547
Sum65230.885
Variance4.101630058 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:55.724294image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.796 2722
 
7.5%
1.795 2690
 
7.4%
1.799 2622
 
7.2%
1.797 2368
 
6.5%
1.794 2293
 
6.3%
1.798 2177
 
6.0%
1.8 2165
 
6.0%
1.793 2027
 
5.6%
1.792 1871
 
5.2%
1.791 1806
 
5.0%
Other values (40) 13570
37.4%
ValueCountFrequency (%)
1.212 1
< 0.1%
1.766 1
< 0.1%
1.771 1
< 0.1%
1.775 1
< 0.1%
1.776 1
< 0.1%
ValueCountFrequency (%)
1.824 3
< 0.1%
1.822 1
 
< 0.1%
1.821 1
 
< 0.1%
1.818 2
 
< 0.1%
1.817 6
< 0.1%

DIKRMOL
Real number (ℝ)

SKEWED 

Distinct34
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.153235548
Minimum0
Maximum1.212
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:56.014671image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.146
Q11.151
median1.153
Q31.156
95-th percentile1.16
Maximum1.212
Range1.212
Interquartile range (IQR)0.005

Descriptive statistics

Standard deviation0.01276171502
Coefficient of variation (CV)0.01106600905
Kurtosis7344.571698
Mean1.153235548
Median Absolute Deviation (MAD)0.003
Skewness-81.2949866
Sum41875.136
Variance0.0001628613703
MonotonicityNot monotonic
2024-08-10T10:50:56.344964image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1.153 3794
10.4%
1.154 3639
10.0%
1.156 3638
10.0%
1.151 3270
9.0%
1.155 2913
 
8.0%
1.152 2769
 
7.6%
1.15 2274
 
6.3%
1.157 2044
 
5.6%
1.158 2031
 
5.6%
1.149 2012
 
5.5%
Other values (24) 7927
21.8%
ValueCountFrequency (%)
0 4
 
< 0.1%
1.138 1
 
< 0.1%
1.139 4
 
< 0.1%
1.14 11
< 0.1%
1.141 25
0.1%
ValueCountFrequency (%)
1.212 1
 
< 0.1%
1.169 1
 
< 0.1%
1.168 6
 
< 0.1%
1.167 5
 
< 0.1%
1.166 23
0.1%

WPYBJPG
Real number (ℝ)

Distinct107
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.707586138
Minimum5.273
Maximum6.178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:56.647344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5.273
5-th percentile5.447
Q15.608
median5.7
Q35.785
95-th percentile5.963
Maximum6.178
Range0.905
Interquartile range (IQR)0.177

Descriptive statistics

Standard deviation0.1470373026
Coefficient of variation (CV)0.02576173168
Kurtosis0.0332898742
Mean5.707586138
Median Absolute Deviation (MAD)0.085
Skewness0.01346478742
Sum207265.283
Variance0.02161996836
MonotonicityNot monotonic
2024-08-10T10:50:56.941124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.777 2144
 
5.9%
5.692 1963
 
5.4%
5.677 1661
 
4.6%
5.7 1651
 
4.5%
5.769 1577
 
4.3%
5.762 1549
 
4.3%
5.685 1439
 
4.0%
5.608 1292
 
3.6%
5.785 1274
 
3.5%
5.601 1223
 
3.4%
Other values (97) 20541
56.6%
ValueCountFrequency (%)
5.273 2
 
< 0.1%
5.287 20
 
0.1%
5.294 18
 
< 0.1%
5.335 1
 
< 0.1%
5.349 73
0.2%
ValueCountFrequency (%)
6.178 3
 
< 0.1%
6.17 1
 
< 0.1%
6.154 1
 
< 0.1%
6.142 6
< 0.1%
6.134 10
< 0.1%

TQZKVZQ
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.288865633 × 10-5
Minimum0
Maximum0.001
Zeros35843
Zeros (%)98.7%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:57.221069image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.001
Range0.001
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001127957856
Coefficient of variation (CV)8.751555068
Kurtosis72.61082709
Mean1.288865633 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.637524397
Sum0.468
Variance1.272288925 × 10-8
MonotonicityNot monotonic
2024-08-10T10:50:57.434647image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 35843
98.7%
0.001 468
 
1.3%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 35843
98.7%
0.001 468
 
1.3%
ValueCountFrequency (%)
0.001 468
 
1.3%
0 35843
98.7%

EIQECLF
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)< 0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.393517116 × 10-5
Minimum0
Maximum0.003
Zeros35807
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:57.633870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.003
Range0.003
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0001179262665
Coefficient of variation (CV)8.46249143
Kurtosis76.05584196
Mean1.393517116 × 10-5
Median Absolute Deviation (MAD)0
Skewness8.544888128
Sum0.506
Variance1.390660433 × 10-8
MonotonicityNot monotonic
2024-08-10T10:50:57.833903image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 35807
98.6%
0.001 503
 
1.4%
0.003 1
 
< 0.1%
(Missing) 3
 
< 0.1%
ValueCountFrequency (%)
0 35807
98.6%
0.001 503
 
1.4%
0.003 1
 
< 0.1%
ValueCountFrequency (%)
0.003 1
 
< 0.1%
0.001 503
 
1.4%
0 35807
98.6%

GUEUYTS
Real number (ℝ)

Distinct407
Distinct (%)1.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean4.910486244
Minimum4.443
Maximum5.234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:58.115160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.443
5-th percentile4.507
Q14.55
median5.095
Q35.125
95-th percentile5.158
Maximum5.234
Range0.791
Interquartile range (IQR)0.575

Descriptive statistics

Standard deviation0.27954035
Coefficient of variation (CV)0.05692722393
Kurtosis-1.606764445
Mean4.910486244
Median Absolute Deviation (MAD)0.045
Skewness-0.5914772421
Sum178304.666
Variance0.07814280729
MonotonicityNot monotonic
2024-08-10T10:50:58.437640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.115 475
 
1.3%
5.121 464
 
1.3%
5.124 449
 
1.2%
5.106 422
 
1.2%
5.127 418
 
1.2%
5.133 406
 
1.1%
5.112 406
 
1.1%
5.13 394
 
1.1%
5.109 383
 
1.1%
5.113 382
 
1.1%
Other values (397) 32112
88.4%
ValueCountFrequency (%)
4.443 1
< 0.1%
4.445 1
< 0.1%
4.447 1
< 0.1%
4.452 2
< 0.1%
4.455 1
< 0.1%
ValueCountFrequency (%)
5.234 1
< 0.1%
5.225 1
< 0.1%
5.219 1
< 0.1%
5.218 1
< 0.1%
5.216 2
< 0.1%

HBCMCGN
Real number (ℝ)

Distinct52
Distinct (%)0.1%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1.794484922
Minimum1.212
Maximum1.819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:58.742975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.212
5-th percentile1.784
Q11.79
median1.795
Q31.799
95-th percentile1.805
Maximum1.819
Range0.607
Interquartile range (IQR)0.009

Descriptive statistics

Standard deviation0.007059598931
Coefficient of variation (CV)0.003934053078
Kurtosis1275.577868
Mean1.794484922
Median Absolute Deviation (MAD)0.004
Skewness-15.49733999
Sum65159.542
Variance4.983793706 × 10-5
MonotonicityNot monotonic
2024-08-10T10:50:59.055921image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.796 2370
 
6.5%
1.795 2301
 
6.3%
1.792 2159
 
5.9%
1.791 2136
 
5.9%
1.794 2133
 
5.9%
1.793 2021
 
5.6%
1.799 2015
 
5.5%
1.797 1900
 
5.2%
1.798 1871
 
5.2%
1.8 1668
 
4.6%
Other values (42) 15737
43.3%
ValueCountFrequency (%)
1.212 1
 
< 0.1%
1.769 2
 
< 0.1%
1.77 5
< 0.1%
1.771 4
< 0.1%
1.772 6
< 0.1%
ValueCountFrequency (%)
1.819 1
 
< 0.1%
1.818 2
 
< 0.1%
1.817 2
 
< 0.1%
1.816 4
 
< 0.1%
1.815 23
0.1%

ODXOWHT
Real number (ℝ)

Distinct187
Distinct (%)0.5%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.601807083
Minimum2.424
Maximum3.708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:50:59.382673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.424
5-th percentile3.553
Q13.577
median3.599
Q33.626
95-th percentile3.658
Maximum3.708
Range1.284
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.033068868
Coefficient of variation (CV)0.009181188008
Kurtosis43.51940156
Mean3.601807083
Median Absolute Deviation (MAD)0.024
Skewness-0.9953570578
Sum130785.217
Variance0.001093550031
MonotonicityNot monotonic
2024-08-10T10:50:59.699987image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.583 529
 
1.5%
3.599 518
 
1.4%
3.613 496
 
1.4%
3.602 495
 
1.4%
3.61 490
 
1.3%
3.577 479
 
1.3%
3.578 473
 
1.3%
3.58 471
 
1.3%
3.586 466
 
1.3%
3.591 460
 
1.3%
Other values (177) 31434
86.6%
ValueCountFrequency (%)
2.424 1
< 0.1%
3.513 1
< 0.1%
3.516 1
< 0.1%
3.517 2
< 0.1%
3.518 2
< 0.1%
ValueCountFrequency (%)
3.708 1
< 0.1%
3.702 2
< 0.1%
3.701 1
< 0.1%
3.7 1
< 0.1%
3.699 1
< 0.1%

BKSGEBR
Real number (ℝ)

Distinct109
Distinct (%)0.3%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean3.27102261
Minimum2.424
Maximum3.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:00.026381image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.424
5-th percentile3.248
Q13.262
median3.271
Q33.281
95-th percentile3.294
Maximum3.33
Range0.906
Interquartile range (IQR)0.019

Descriptive statistics

Standard deviation0.01466876022
Coefficient of variation (CV)0.004484456994
Kurtosis305.6668349
Mean3.27102261
Median Absolute Deviation (MAD)0.009
Skewness-5.301837893
Sum118774.102
Variance0.0002151725265
MonotonicityNot monotonic
2024-08-10T10:51:00.323377image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.266 1149
 
3.2%
3.268 1141
 
3.1%
3.272 1121
 
3.1%
3.273 1097
 
3.0%
3.275 1045
 
2.9%
3.27 1014
 
2.8%
3.269 1006
 
2.8%
3.277 1000
 
2.8%
3.278 972
 
2.7%
3.271 954
 
2.6%
Other values (99) 25812
71.1%
ValueCountFrequency (%)
2.424 1
< 0.1%
3.216 1
< 0.1%
3.217 2
< 0.1%
3.218 1
< 0.1%
3.219 1
< 0.1%
ValueCountFrequency (%)
3.33 1
 
< 0.1%
3.329 1
 
< 0.1%
3.324 2
< 0.1%
3.323 1
 
< 0.1%
3.322 3
< 0.1%

NMWUWJL
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.170237374
Minimum0
Maximum7
Zeros31823
Zeros (%)87.6%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:00.578244image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5322106898
Coefficient of variation (CV)3.126285828
Kurtosis28.61793029
Mean0.170237374
Median Absolute Deviation (MAD)0
Skewness4.485341159
Sum6182
Variance0.2832482184
MonotonicityNot monotonic
2024-08-10T10:51:00.795845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 31823
87.6%
1 3372
 
9.3%
2 738
 
2.0%
3 264
 
0.7%
4 80
 
0.2%
5 13
 
< 0.1%
7 13
 
< 0.1%
6 11
 
< 0.1%
ValueCountFrequency (%)
0 31823
87.6%
1 3372
 
9.3%
2 738
 
2.0%
3 264
 
0.7%
4 80
 
0.2%
ValueCountFrequency (%)
7 13
 
< 0.1%
6 11
 
< 0.1%
5 13
 
< 0.1%
4 80
 
0.2%
3 264
0.7%

GYXMTQR
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.979085558
Minimum4.92712
Maximum5.04328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:01.040895image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.92712
5-th percentile4.94648
Q14.96584
median4.97552
Q34.99488
95-th percentile5.00456
Maximum5.04328
Range0.11616
Interquartile range (IQR)0.02904

Descriptive statistics

Standard deviation0.02068665672
Coefficient of variation (CV)0.004154710033
Kurtosis0.1590695625
Mean4.979085558
Median Absolute Deviation (MAD)0.00968
Skewness-0.03432326933
Sum180810.513
Variance0.0004279377664
MonotonicityNot monotonic
2024-08-10T10:51:01.291282image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4.97552 6933
19.1%
4.9852 5798
16.0%
4.99488 5752
15.8%
4.96584 5707
15.7%
5.00456 3758
10.3%
4.95616 3544
9.8%
4.94648 1892
 
5.2%
5.02392 961
 
2.6%
4.92712 906
 
2.5%
5.01424 532
 
1.5%
Other values (3) 531
 
1.5%
ValueCountFrequency (%)
4.92712 906
 
2.5%
4.9368 246
 
0.7%
4.94648 1892
 
5.2%
4.95616 3544
9.8%
4.96584 5707
15.7%
ValueCountFrequency (%)
5.04328 142
 
0.4%
5.0336 143
 
0.4%
5.02392 961
 
2.6%
5.01424 532
 
1.5%
5.00456 3758
10.3%

JZRBYSL
Real number (ℝ)

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.06010018
Minimum4.9852
Maximum5.1304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:01.520841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.9852
5-th percentile5.02392
Q15.04328
median5.06264
Q35.07232
95-th percentile5.10136
Maximum5.1304
Range0.1452
Interquartile range (IQR)0.02904

Descriptive statistics

Standard deviation0.02345172526
Coefficient of variation (CV)0.004634636555
Kurtosis0.2254595169
Mean5.06010018
Median Absolute Deviation (MAD)0.01936
Skewness-0.004907150748
Sum183752.4779
Variance0.0005499834178
MonotonicityNot monotonic
2024-08-10T10:51:01.741984image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
5.05296 6576
18.1%
5.06264 5594
15.4%
5.07232 5266
14.5%
5.04328 5078
14.0%
5.082 4080
11.2%
5.0336 3007
8.3%
5.10136 1970
 
5.4%
5.02392 1210
 
3.3%
5.09168 979
 
2.7%
5.01424 961
 
2.6%
Other values (6) 1593
 
4.4%
ValueCountFrequency (%)
4.9852 33
 
0.1%
4.99488 510
1.4%
5.00456 4
 
< 0.1%
5.01424 961
2.6%
5.02392 1210
3.3%
ValueCountFrequency (%)
5.1304 92
 
0.3%
5.12072 71
 
0.2%
5.11104 883
2.4%
5.10136 1970
5.4%
5.09168 979
2.7%

AYAJVQL
Real number (ℝ)

Distinct24
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.06834857
Minimum11.814
Maximum12.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:01.998942image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum11.814
5-th percentile11.946
Q112.012
median12.056
Q312.122
95-th percentile12.232
Maximum12.32
Range0.506
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.08911900102
Coefficient of variation (CV)0.007384523284
Kurtosis-0.3662932777
Mean12.06834857
Median Absolute Deviation (MAD)0.066
Skewness0.4698754047
Sum438250.01
Variance0.007942196343
MonotonicityNot monotonic
2024-08-10T10:51:02.311831image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
12.034 5129
14.1%
12.056 3704
10.2%
12.012 3512
9.7%
12.1 3118
8.6%
11.968 2987
 
8.2%
12.078 2432
 
6.7%
12.122 2104
 
5.8%
11.946 2004
 
5.5%
11.99 1902
 
5.2%
12.188 1805
 
5.0%
Other values (14) 7617
21.0%
ValueCountFrequency (%)
11.814 3
 
< 0.1%
11.836 6
 
< 0.1%
11.858 46
 
0.1%
11.88 106
 
0.3%
11.902 269
0.7%
ValueCountFrequency (%)
12.32 14
 
< 0.1%
12.298 211
 
0.6%
12.276 657
1.8%
12.254 670
1.8%
12.232 924
2.5%

KNIKHDA
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.896642421
Minimum4.84968
Maximum4.9368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:02.576073image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4.84968
5-th percentile4.86904
Q14.8884
median4.89808
Q34.90776
95-th percentile4.92712
Maximum4.9368
Range0.08712
Interquartile range (IQR)0.01936

Descriptive statistics

Standard deviation0.01621952335
Coefficient of variation (CV)0.003312376514
Kurtosis-0.1982612425
Mean4.896642421
Median Absolute Deviation (MAD)0.00968
Skewness0.006052340325
Sum177816.6729
Variance0.0002630729378
MonotonicityNot monotonic
2024-08-10T10:51:02.945393image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4.89808 9322
25.7%
4.90776 7311
20.1%
4.8884 5981
16.5%
4.87872 5512
15.2%
4.91744 3329
 
9.2%
4.86904 1999
 
5.5%
4.92712 1445
 
4.0%
4.85936 737
 
2.0%
4.9368 627
 
1.7%
4.84968 51
 
0.1%
ValueCountFrequency (%)
4.84968 51
 
0.1%
4.85936 737
 
2.0%
4.86904 1999
 
5.5%
4.87872 5512
15.2%
4.8884 5981
16.5%
ValueCountFrequency (%)
4.9368 627
 
1.7%
4.92712 1445
 
4.0%
4.91744 3329
 
9.2%
4.90776 7311
20.1%
4.89808 9322
25.7%

NRUIVJF
Real number (ℝ)

Distinct19
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.041515008
Minimum2.996
Maximum3.068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:03.392475image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.996
5-th percentile3.024
Q13.036
median3.044
Q33.048
95-th percentile3.056
Maximum3.068
Range0.072
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.009585434131
Coefficient of variation (CV)0.003151532741
Kurtosis0.3647366339
Mean3.041515008
Median Absolute Deviation (MAD)0.008
Skewness-0.2513418666
Sum110449.576
Variance9.188054748 × 10-5
MonotonicityNot monotonic
2024-08-10T10:51:03.812458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.048 6687
18.4%
3.044 5999
16.5%
3.036 5410
14.9%
3.04 4909
13.5%
3.052 3759
10.4%
3.032 3601
9.9%
3.024 1424
 
3.9%
3.028 1306
 
3.6%
3.06 955
 
2.6%
3.056 644
 
1.8%
Other values (9) 1620
 
4.5%
ValueCountFrequency (%)
2.996 2
 
< 0.1%
3 4
 
< 0.1%
3.004 4
 
< 0.1%
3.008 32
 
0.1%
3.012 117
0.3%
ValueCountFrequency (%)
3.068 227
 
0.6%
3.064 371
 
1.0%
3.06 955
 
2.6%
3.056 644
 
1.8%
3.052 3759
10.4%

LLZRQRY
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.495317508
Minimum2.484
Maximum2.508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:04.100116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2.484
5-th percentile2.488
Q12.492
median2.496
Q32.5
95-th percentile2.504
Maximum2.508
Range0.024
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.004834213817
Coefficient of variation (CV)0.001937314109
Kurtosis-0.4585597893
Mean2.495317508
Median Absolute Deviation (MAD)0.004
Skewness-0.005128325244
Sum90614.96
Variance2.336962322 × 10-5
MonotonicityNot monotonic
2024-08-10T10:51:04.455929image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2.492 10332
28.5%
2.5 9965
27.4%
2.496 8981
24.7%
2.488 4211
11.6%
2.504 1694
 
4.7%
2.484 698
 
1.9%
2.508 433
 
1.2%
ValueCountFrequency (%)
2.484 698
 
1.9%
2.488 4211
11.6%
2.492 10332
28.5%
2.496 8981
24.7%
2.5 9965
27.4%
ValueCountFrequency (%)
2.508 433
 
1.2%
2.504 1694
 
4.7%
2.5 9965
27.4%
2.496 8981
24.7%
2.492 10332
28.5%

MOSECGI
Real number (ℝ)

Distinct10
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9270673569
Minimum0.908
Maximum0.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:04.848300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.908
5-th percentile0.916
Q10.924
median0.928
Q30.932
95-th percentile0.936
Maximum0.944
Range0.036
Interquartile range (IQR)0.008

Descriptive statistics

Standard deviation0.005712614728
Coefficient of variation (CV)0.006162027695
Kurtosis-0.09917984445
Mean0.9270673569
Median Absolute Deviation (MAD)0.004
Skewness-0.402870494
Sum33665.524
Variance3.263396703 × 10-5
MonotonicityNot monotonic
2024-08-10T10:51:05.260006image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.928 11290
31.1%
0.932 8759
24.1%
0.924 6207
17.1%
0.92 4329
 
11.9%
0.936 2457
 
6.8%
0.916 2143
 
5.9%
0.912 595
 
1.6%
0.94 503
 
1.4%
0.944 20
 
0.1%
0.908 11
 
< 0.1%
ValueCountFrequency (%)
0.908 11
 
< 0.1%
0.912 595
 
1.6%
0.916 2143
 
5.9%
0.92 4329
11.9%
0.924 6207
17.1%
ValueCountFrequency (%)
0.944 20
 
0.1%
0.94 503
 
1.4%
0.936 2457
 
6.8%
0.932 8759
24.1%
0.928 11290
31.1%

AHVIXII
Real number (ℝ)

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.329555433
Minimum3.3
Maximum3.356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:05.693426image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.316
Q13.324
median3.328
Q33.336
95-th percentile3.344
Maximum3.356
Range0.056
Interquartile range (IQR)0.012

Descriptive statistics

Standard deviation0.008080882457
Coefficient of variation (CV)0.002427015444
Kurtosis0.0296524858
Mean3.329555433
Median Absolute Deviation (MAD)0.004
Skewness0.06117399534
Sum120909.476
Variance6.530066128 × 10-5
MonotonicityNot monotonic
2024-08-10T10:51:06.144440image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3.332 7709
21.2%
3.328 6893
19.0%
3.336 5063
13.9%
3.324 4864
13.4%
3.32 4103
11.3%
3.34 2919
 
8.0%
3.316 1915
 
5.3%
3.344 1092
 
3.0%
3.348 671
 
1.8%
3.312 508
 
1.4%
Other values (5) 577
 
1.6%
ValueCountFrequency (%)
3.3 7
 
< 0.1%
3.304 35
 
0.1%
3.308 209
 
0.6%
3.312 508
 
1.4%
3.316 1915
5.3%
ValueCountFrequency (%)
3.356 1
 
< 0.1%
3.352 325
 
0.9%
3.348 671
 
1.8%
3.344 1092
 
3.0%
3.34 2919
8.0%

PSXOLCG
Real number (ℝ)

Distinct35
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.93459823
Minimum23
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:06.641638image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile25
Q126.5
median27.5
Q329
95-th percentile32
Maximum40
Range17
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.12288517
Coefficient of variation (CV)0.07599483453
Kurtosis2.248730094
Mean27.93459823
Median Absolute Deviation (MAD)1
Skewness1.181517776
Sum1014417
Variance4.506641445
MonotonicityNot monotonic
2024-08-10T10:51:07.147906image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
26.5 3887
10.7%
27 3799
10.5%
27.5 3674
10.1%
28 3624
10.0%
26 3523
9.7%
28.5 3303
9.1%
29 2632
7.2%
25.5 2306
 
6.4%
29.5 1950
 
5.4%
30 1362
 
3.8%
Other values (25) 6254
17.2%
ValueCountFrequency (%)
23 2
 
< 0.1%
23.5 46
 
0.1%
24 151
 
0.4%
24.5 495
1.4%
25 1191
3.3%
ValueCountFrequency (%)
40 3
 
< 0.1%
39.5 2
 
< 0.1%
39 9
< 0.1%
38.5 7
< 0.1%
38 11
< 0.1%

NPVZRXF
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.307357048
Minimum3.27352
Maximum3.33992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:07.656363image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3.27352
5-th percentile3.2868
Q13.29344
median3.30672
Q33.32
95-th percentile3.33328
Maximum3.33992
Range0.0664
Interquartile range (IQR)0.02656

Descriptive statistics

Standard deviation0.01447552882
Coefficient of variation (CV)0.004376766285
Kurtosis-0.5307306464
Mean3.307357048
Median Absolute Deviation (MAD)0.01328
Skewness0.1438294866
Sum120103.3638
Variance0.0002095409346
MonotonicityNot monotonic
2024-08-10T10:51:07.931503image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3.29344 6769
18.6%
3.30672 6462
17.8%
3.32 5039
13.9%
3.30008 4793
13.2%
3.31336 4500
12.4%
3.32664 2816
7.8%
3.2868 2413
 
6.6%
3.33328 1646
 
4.5%
3.33992 839
 
2.3%
3.27352 603
 
1.7%
ValueCountFrequency (%)
3.27352 603
 
1.7%
3.28016 434
 
1.2%
3.2868 2413
 
6.6%
3.29344 6769
18.6%
3.30008 4793
13.2%
ValueCountFrequency (%)
3.33992 839
 
2.3%
3.33328 1646
 
4.5%
3.32664 2816
7.8%
3.32 5039
13.9%
3.31336 4500
12.4%

GQHLWWM
Real number (ℝ)

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean651.9308256
Minimum19
Maximum1008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:08.163261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119
median1003
Q31003
95-th percentile1003
Maximum1008
Range989
Interquartile range (IQR)984

Descriptive statistics

Standard deviation471.4313368
Coefficient of variation (CV)0.7231309187
Kurtosis-1.642815427
Mean651.9308256
Median Absolute Deviation (MAD)0
Skewness-0.5977200718
Sum23674216
Variance222247.5054
MonotonicityNot monotonic
2024-08-10T10:51:08.388791image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1003 23019
63.4%
19 12929
35.6%
1008 337
 
0.9%
28 29
 
0.1%
ValueCountFrequency (%)
19 12929
35.6%
28 29
 
0.1%
1003 23019
63.4%
1008 337
 
0.9%
ValueCountFrequency (%)
1008 337
 
0.9%
1003 23019
63.4%
28 29
 
0.1%
19 12929
35.6%

SHBNDLU
Real number (ℝ)

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.5537258
Minimum140
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:08.616636image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum140
5-th percentile150
Q1150
median150
Q3160
95-th percentile160
Maximum160
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.800115203
Coefficient of variation (CV)0.03126016759
Kurtosis-1.606677451
Mean153.5537258
Median Absolute Deviation (MAD)0
Skewness0.586433271
Sum5576150
Variance23.04110596
MonotonicityNot monotonic
2024-08-10T10:51:08.829055image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
150 23361
64.3%
160 12929
35.6%
140 24
 
0.1%
ValueCountFrequency (%)
140 24
 
0.1%
150 23361
64.3%
160 12929
35.6%
ValueCountFrequency (%)
160 12929
35.6%
150 23361
64.3%
140 24
 
0.1%

LJGDTWM
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum47
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:09.071630image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile47
Q147
median47
Q347
95-th percentile47
Maximum47
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean47
Median Absolute Deviation (MAD)0
Skewness0
Sum1706758
Variance0
MonotonicityIncreasing
2024-08-10T10:51:09.276735image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
47 36314
100.0%
ValueCountFrequency (%)
47 36314
100.0%
ValueCountFrequency (%)
47 36314
100.0%

IHCEXCN
Real number (ℝ)

Distinct2466
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean885.0502286
Minimum0
Maximum2500
Zeros21
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:09.523525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80
Q1420
median870
Q31265
95-th percentile1900.35
Maximum2500
Range2500
Interquartile range (IQR)845

Descriptive statistics

Standard deviation557.4242289
Coefficient of variation (CV)0.6298221399
Kurtosis-0.333541843
Mean885.0502286
Median Absolute Deviation (MAD)421
Skewness0.4422650191
Sum32139714
Variance310721.7709
MonotonicityNot monotonic
2024-08-10T10:51:09.833978image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1207 38
 
0.1%
1317 38
 
0.1%
934 38
 
0.1%
1049 37
 
0.1%
913 36
 
0.1%
1262 36
 
0.1%
1032 36
 
0.1%
1327 36
 
0.1%
615 35
 
0.1%
153 35
 
0.1%
Other values (2456) 35949
99.0%
ValueCountFrequency (%)
0 21
0.1%
1 22
0.1%
2 20
0.1%
3 17
< 0.1%
4 13
< 0.1%
ValueCountFrequency (%)
2500 2
 
< 0.1%
2499 5
< 0.1%
2498 3
< 0.1%
2497 3
< 0.1%
2496 4
< 0.1%

TLJYWBE
Real number (ℝ)

MISSING  SKEWED 

Distinct35516
Distinct (%)100.0%
Missing798
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean7.628700189 × 10-8
Minimum1.045657555 × 10-11
Maximum0.0008538408795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size567.4 KiB
2024-08-10T10:51:10.136906image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1.045657555 × 10-11
5-th percentile1.77900654 × 10-10
Q16.164759014 × 10-10
median1.521673551 × 10-9
Q34.05164045 × 10-9
95-th percentile3.170517359 × 10-8
Maximum0.0008538408795
Range0.000853840869
Interquartile range (IQR)3.435164549 × 10-9

Descriptive statistics

Standard deviation5.993664959 × 10-6
Coefficient of variation (CV)78.56731567
Kurtosis15282.01581
Mean7.628700189 × 10-8
Median Absolute Deviation (MAD)1.125221729 × 10-9
Skewness120.5218213
Sum0.002709409159
Variance3.592401964 × 10-11
MonotonicityNot monotonic
2024-08-10T10:51:10.454156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.157940549 × 10-101
 
< 0.1%
3.73712037 × 10-101
 
< 0.1%
1.209977798 × 10-91
 
< 0.1%
2.27270589 × 10-91
 
< 0.1%
5.024473086 × 10-101
 
< 0.1%
4.398700831 × 10-101
 
< 0.1%
1.321265635 × 10-91
 
< 0.1%
4.017163403 × 10-101
 
< 0.1%
7.47936217 × 10-111
 
< 0.1%
5.845426727 × 10-101
 
< 0.1%
Other values (35506) 35506
97.8%
(Missing) 798
 
2.2%
ValueCountFrequency (%)
1.045657555 × 10-111
< 0.1%
1.077311623 × 10-111
< 0.1%
1.508183864 × 10-111
< 0.1%
1.538828091 × 10-111
< 0.1%
1.539346228 × 10-111
< 0.1%
ValueCountFrequency (%)
0.0008538408795 1
< 0.1%
0.0006120318561 1
< 0.1%
0.0004123408387 1
< 0.1%
1.013562531 × 10-51
< 0.1%
9.912807934 × 10-61
< 0.1%